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Express</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2020</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Jan-01-2020</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.osapublishing.org/abstract.cfm?URI=oe-28-3-2699https://www.osapublishing.org/viewmedia.cfm?URI=oe-28-3-2699&amp;seq=0</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">28</style></volume><pages><style face="normal" font="default" size="100%">2699-2713</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">3</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Adeel, Muhammad</style></author><author><style face="normal" font="default" size="100%">Tejedor, Javier</style></author><author><style face="normal" font="default" size="100%">Macias-Guarasa, Javier</style></author><author><style face="normal" font="default" size="100%">Zhu, Kun</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Undiscovered issues and solutions for direct detected ϕ-OTDR systems</style></title><secondary-title><style face="normal" font="default" size="100%">Optical Fiber Technology</style></secondary-title><short-title><style face="normal" font="default" size="100%">Optical Fiber Technology</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2020</style></year><pub-dates><date><style  face="normal" font="default" size="100%">12/2020</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://dx.doi.org/10.1016/j.yofte.2020.102346</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">60</style></volume><pages><style face="normal" font="default" size="100%">102346</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>6</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Suárez, Iago</style></author><author><style face="normal" font="default" size="100%">Sfeir, Ghesn</style></author><author><style face="normal" font="default" size="100%">Buenaposada, José M.</style></author><author><style face="normal" font="default" size="100%">Baumela, Luis</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">BELID: Boosted Efficient Local Image Descriptor</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2019</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://link.springer.com/10.1007/978-3-030-31332-6</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Springer International Publishing</style></publisher><pub-location><style face="normal" font="default" size="100%">Cham</style></pub-location><volume><style face="normal" font="default" size="100%">118671186027313636373210</style></volume><pages><style face="normal" font="default" size="100%">449 - 460</style></pages><isbn><style face="normal" font="default" size="100%">978-3-030-31331-9</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Buenaposada, José M.</style></author><author><style face="normal" font="default" size="100%">Baumela, Luis</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Ferrández Vicente, José Manuel</style></author><author><style face="normal" font="default" size="100%">Álvarez-Sánchez, José Ramón</style></author><author><style face="normal" font="default" size="100%">de la Paz López, Félix</style></author><author><style face="normal" font="default" size="100%">Toledo Moreo, Javier</style></author><author><style face="normal" font="default" size="100%">Adeli, Hojjat</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Boosting Object Detection in Cyberphysical Systems</style></title><secondary-title><style face="normal" font="default" size="100%">Understanding the Brain Function and Emotions</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2019</style></year></dates><publisher><style face="normal" font="default" size="100%">Springer International Publishing</style></publisher><pub-location><style face="normal" font="default" size="100%">Cham</style></pub-location><pages><style face="normal" font="default" size="100%">309–318</style></pages><isbn><style face="normal" font="default" size="100%">978-3-030-19591-5</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;The construction of Cyberphysical systems requires providing intelligent behavior to physical agents at the smallest scale and, therefore, the need to develop very efficient and resource-aware algorithms. In this paper we present an object detection algorithm that may endow an agent with perceptual object detection capabilities at a small computational cost. To this end we adapt a recent Multi-class Boosting scheme to create an efficient detector with the capability of regressing the object bounding box. In the experiments we prove that the resulting algorithm shows Average Precision (AP) improvements in a multi-view car detection problem.&lt;/p&gt;
</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Tejedor, Javier</style></author><author><style face="normal" font="default" size="100%">Macias-Guarasa, Javier</style></author><author><style face="normal" font="default" size="100%">Martins, Hugo</style></author><author><style face="normal" font="default" size="100%">Martin-Lopez, Sonia</style></author><author><style face="normal" font="default" size="100%">Gonzalez-Herraez, Miguel</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A Contextual GMM-HMM Smart Fiber Optic Surveillance System for Pipeline Integrity Threat Detection</style></title><secondary-title><style face="normal" font="default" size="100%">Journal of Lightwave Technology</style></secondary-title><short-title><style face="normal" font="default" size="100%">J. Lightwave Technol.</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2019</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Jan-01-2019</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://ieeexplore.ieee.org/document/8680010/http://xplorestaging.ieee.org/ielx7/50/4357488/08680010.pdf?arnumber=8680010</style></url></web-urls></urls><pages><style face="normal" font="default" size="100%">1 - 1</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;This paper presents a novel pipeline integrity surveillance system aimed to the detection and classification of threats in the vicinity of a long gas pipeline. The sensing system is based on phase-sensitive optical time domain reflectometry (&amp;nbsp;ϕ&amp;nbsp;-OTDR) technology for signal acquisition and pattern recognition strategies for threat identification. The proposal incorporates contextual information at the feature level in a Gaussian Mixture Model-Hidden Markov Model (GMM-HMM)-based pattern classification system and applies a system combination strategy for acoustic trace decision. System combination relies on majority voting of the decisions given by the individual contextual information sources and the number of states used for HMM modelling. The system runs in two different modes: (1) machine+activity identification, which recognizes the activity being carried out by a certain machine, and (2) threat detection, aimed to detect threats no matter what the real activity being conducted is. In comparison with the previous systems based on the same rigorous experimental setup, the results show that the system combination from the contextual feature information and the GMM-HMM approach improves the results for both machine+activity identification (7.6% of relative improvement with respect to the best published result in the literature on this task) and threat detection (26.6% of relative improvement in the false alarm rate with 2.1% relative reduction in the threat detection rate).&lt;/p&gt;
</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Valle, Roberto</style></author><author><style face="normal" font="default" size="100%">Buenaposada, José M.</style></author><author><style face="normal" font="default" size="100%">Valdés, Antonio</style></author><author><style face="normal" font="default" size="100%">Baumela, Luis</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Face alignment using a 3D deeply-initialized ensemble of regression trees</style></title><secondary-title><style face="normal" font="default" size="100%">Computer Vision and Image Understanding</style></secondary-title><short-title><style face="normal" font="default" size="100%">Computer Vision and Image Understanding</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2019</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Jan-12-2019</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://linkinghub.elsevier.com/retrieve/pii/S1077314219301444</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">189361061075916223132547447217141</style></volume><pages><style face="normal" font="default" size="100%">102846</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Sanabria Macías, Frank</style></author><author><style face="normal" font="default" size="100%">Marron-Romera, Marta</style></author><author><style face="normal" font="default" size="100%">Macias-Guarasa, Javier</style></author><author><style face="normal" font="default" size="100%">Noa Turnes, Javier</style></author><author><style face="normal" font="default" size="100%">Marañón Reyes, Enrique</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Face tracking with a probabilistic Viola and Jones face detector </style></title><secondary-title><style face="normal" font="default" size="100%">IECON 2019: 45th Annual Conference of the IEEE Industrial Electronics Society</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2019</style></year><pub-dates><date><style  face="normal" font="default" size="100%">10/2019</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">IEEE</style></publisher><pub-location><style face="normal" font="default" size="100%">Lisbon, Portugal</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">López, Pedro Diego</style></author><author><style face="normal" font="default" size="100%">Valle, Roberto</style></author><author><style face="normal" font="default" size="100%">Baumela, Luis</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Vera-Rodriguez, Ruben</style></author><author><style face="normal" font="default" size="100%">Fierrez, Julian</style></author><author><style face="normal" font="default" size="100%">Morales, Aythami</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Facial Landmarks Detection Using a Cascade of Recombinator Networks</style></title><secondary-title><style face="normal" font="default" size="100%">Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2019</style></year></dates><publisher><style face="normal" font="default" size="100%">Springer International Publishing</style></publisher><pub-location><style face="normal" font="default" size="100%">Cham</style></pub-location><pages><style face="normal" font="default" size="100%">575–583</style></pages><isbn><style face="normal" font="default" size="100%">978-3-030-13469-3</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Nowadays, Convolutional Neural Nets (CNNs) have become the reference technology for many computer vision problems, including facial landmarks detection. Although CNNs are very robust, they still lack accuracy because they cannot enforce the estimated landmarks to represent a valid face shape.&lt;/p&gt;
</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">López, Pedro Diego</style></author><author><style face="normal" font="default" size="100%">Valle, Roberto</style></author><author><style face="normal" font="default" size="100%">Baumela, Luis</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Vera-Rodriguez, Ruben</style></author><author><style face="normal" font="default" size="100%">Fierrez, Julian</style></author><author><style face="normal" font="default" size="100%">Morales, Aythami</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Facial Landmarks Detection Using a Cascade of Recombinator Networks</style></title><secondary-title><style face="normal" font="default" size="100%">Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2019</style></year></dates><publisher><style face="normal" font="default" size="100%">Springer International Publishing</style></publisher><pub-location><style face="normal" font="default" size="100%">Cham</style></pub-location><pages><style face="normal" font="default" size="100%">575–583</style></pages><isbn><style face="normal" font="default" size="100%">978-3-030-13469-3</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Nowadays, Convolutional Neural Nets (CNNs) have become the reference technology for many computer vision problems, including facial landmarks detection. Although CNNs are very robust, they still lack accuracy because they cannot enforce the estimated landmarks to represent a valid face shape.&lt;/p&gt;
</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>6</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">López, Pedro Diego</style></author><author><style face="normal" font="default" size="100%">Valle, Roberto</style></author><author><style face="normal" font="default" size="100%">Baumela, Luis</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Facial Landmarks Detection Using a Cascade of Recombinator Networks</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2019</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://link.springer.com/10.1007/978-3-030-13469-3</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Springer International Publishing</style></publisher><pub-location><style face="normal" font="default" size="100%">Cham</style></pub-location><volume><style face="normal" font="default" size="100%">1140138</style></volume><pages><style face="normal" font="default" size="100%">575 - 583</style></pages><isbn><style face="normal" font="default" size="100%">978-3-030-13468-6</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Ronda, Jose I.</style></author><author><style face="normal" font="default" size="100%">Valdés, Antonio</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Geometrical Analysis of Polynomial Lens Distortion Models</style></title><secondary-title><style face="normal" font="default" size="100%">Journal of Mathematical Imaging and Vision</style></secondary-title><short-title><style face="normal" font="default" size="100%">J Math Imaging Vis</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2019</style></year><pub-dates><date><style  face="normal" font="default" size="100%">03/2019</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://link.springer.com/10.1007/s10851-018-0833-xhttp://link.springer.com/content/pdf/10.1007/s10851-018-0833-x.pdfhttp://link.springer.com/content/pdf/10.1007/s10851-018-0833-x.pdfhttp://link.springer.com/article/10.1007/s10851-018-0833-x/fulltext.html</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">61</style></volume><pages><style face="normal" font="default" size="100%">252 - 268</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">3</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Adeel, Muhammad</style></author><author><style face="normal" font="default" size="100%">Tejedor, Javier</style></author><author><style face="normal" font="default" size="100%">Macias-Guarasa, Javier</style></author><author><style face="normal" font="default" size="100%">Lu, Chao</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Improved Perturbation Detection in Direct Detected $\phi$ -OTDR Systems using Matched Filtering</style></title><secondary-title><style face="normal" font="default" size="100%">IEEE Photonics Technology Letters</style></secondary-title><short-title><style face="normal" font="default" size="100%">IEEE Photon. Technol. Lett.</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2019</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Jan-11-2019</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=68https://ieeexplore.ieee.org/document/8830461/http://xplorestaging.ieee.org/ielx7/68/8897101/08830461.pdf?arnumber=8830461</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">31</style></volume><pages><style face="normal" font="default" size="100%">1689 - 1692</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">21</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>6</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Buenaposada, José M.</style></author><author><style face="normal" font="default" size="100%">Baumela, Luis</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Lecture Notes in Computer ScienceUnderstanding the Brain Function and EmotionsBoosting Object Detection in Cyberphysical Systems</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2019</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://link.springer.com/10.1007/978-3-030-19591-5</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Springer International Publishing</style></publisher><pub-location><style face="normal" font="default" size="100%">Cham</style></pub-location><volume><style face="normal" font="default" size="100%">1148623679165137422</style></volume><pages><style face="normal" font="default" size="100%">309 - 318</style></pages><isbn><style face="normal" font="default" size="100%">978-3-030-19590-8</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Pérez-Rubio, Maria Carmen</style></author><author><style face="normal" font="default" size="100%">Losada-Gutierrez, Cristina</style></author><author><style face="normal" font="default" size="100%">Espinosa, Felipe</style></author><author><style face="normal" font="default" size="100%">Macias-Guarasa, Javier</style></author><author><style face="normal" font="default" size="100%">Tiemann, Janis</style></author><author><style face="normal" font="default" size="100%">Eckermann, Fabian</style></author><author><style face="normal" font="default" size="100%">Wietfeld, Christian</style></author><author><style face="normal" font="default" size="100%">Katkov, Maxim</style></author><author><style face="normal" font="default" size="100%">Huba, Sergey</style></author><author><style face="normal" font="default" size="100%">Ureña, Jesús</style></author><author><style face="normal" font="default" size="100%">Villadangos, José Manuel</style></author><author><style face="normal" font="default" size="100%">Gualda, David</style></author><author><style face="normal" font="default" size="100%">Díaz, Edel</style></author><author><style face="normal" font="default" size="100%">Nieto, Rubén</style></author><author><style face="normal" font="default" size="100%">Santiso, Enrique</style></author><author><style face="normal" font="default" size="100%">del Portillo, Pablo</style></author><author><style face="normal" font="default" size="100%">Martínez, Miguel</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A realistic evaluation of indoor robot position tracking systems: The IPIN 2016 competition experience</style></title><secondary-title><style face="normal" font="default" size="100%">Measurement</style></secondary-title><short-title><style face="normal" font="default" size="100%">Measurement</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2019</style></year><pub-dates><date><style  face="normal" font="default" size="100%">01/2019</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://linkinghub.elsevier.com/retrieve/pii/S0263224118310728https://api.elsevier.com/content/article/PII:S0263224118310728?httpAccept=text/xmlhttps://api.elsevier.com/content/article/PII:S0263224118310728?httpAccept=text/plain</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">135</style></volume><pages><style face="normal" font="default" size="100%">151 - 162</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;We report a novel open competition aimed at evaluating accurate robot position tracking in indoor environments. The competition was organized within the IPIN 2016 (Indoor Positioning and Indoor Navigation international Conference). Here, we describe the competition, the competitors and their final results. The challenges of this new competition included: tracking an industrial robot following an unknown path but with a defined ground-truth, and open positioning system to be deployed on-site, with no restrictions apart from those related to safety issues. Our aim here is to provide sufficient detail to serve as a solid basis for future competition initiatives with a similar scope, using common metrics and objective evaluation procedures. In addition, the real systems evaluated represent state-of-the-art performance, and thus offer interesting solutions to the problem posed in the competition.&lt;/p&gt;
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In the proposed solution, the CNN is designed to directly estimate the three-dimensional position of a single acoustic source using the raw audio signal as the input information and avoiding the use of hand-crafted audio features. Given the limited amount of available localization data, we propose, in this paper, a training strategy based on two steps. We first train our network using semi-synthetic data generated from close talk speech recordings. We simulate the time delays and distortion suffered in the signal that propagate from the source to the array of microphones. We then fine tune this network using a small amount of real data. Our experimental results, evaluated on a publicly available dataset recorded in a real room, show that this approach is able to produce networks that significantly improve existing localization methods based onÂ&amp;nbsp;&lt;em&gt;SRP-PHAT&lt;/em&gt;Â&amp;nbsp;strategies and also those presented in very recent proposals based on Convolutional Recurrent Neural Networks (CRNN). In addition, our experiments show that the performance of our CNN method does not show a relevant dependency on the speakerâ€™s gender, nor on the size of the signal window being used.&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">10</style></issue><section><style face="normal" font="default" size="100%">1</style></section></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">ì, Francesco</style></author><author><style face="normal" font="default" size="100%">Park, Sangjoon</style></author><author><style face="normal" font="default" size="100%">énez Ruiz, Antonio</style></author><author><style face="normal" font="default" size="100%">Barsocchi, Paolo</style></author><author><style face="normal" font="default" size="100%">Girolami, Michele</style></author><author><style face="normal" font="default" size="100%">Crivello, Antonino</style></author><author><style face="normal" font="default" size="100%">Lee, So</style></author><author><style face="normal" font="default" size="100%">Lim, Jae</style></author><author><style face="normal" font="default" size="100%">Torres-Sospedra, ín</style></author><author><style face="normal" font="default" size="100%">Seco, Fernando</style></author><author><style face="normal" font="default" size="100%">Montoliu, Raul</style></author><author><style face="normal" font="default" size="100%">Mendoza-Silva, án</style></author><author><style face="normal" font="default" size="100%">érez Rubio, Maria</style></author><author><style face="normal" font="default" size="100%">érrez, Cristina</style></author><author><style face="normal" font="default" size="100%">Espinosa, Felipe</style></author><author><style face="normal" font="default" size="100%">Macias-Guarasa, Javier</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Comparing the Performance of Indoor Localization Systems through the EvAAL Framework</style></title><secondary-title><style face="normal" font="default" size="100%">Sensors</style></secondary-title><short-title><style face="normal" font="default" size="100%">Sensors</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2017</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Jan-10-2017</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.mdpi.com/1424-8220/17/10/2327http://www.mdpi.com/1424-8220/17/10/2327/pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">178417</style></volume><pages><style face="normal" font="default" size="100%">2327</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">10</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><translated-authors><author><style face="normal" font="default" size="100%">Carlos Luna</style></author><author><style face="normal" font="default" size="100%">Javier Macias-Guarasa</style></author><author><style face="normal" font="default" size="100%">Cristina Losada-Gutierrez</style></author><author><style face="normal" font="default" size="100%">Marta Marron-Romera</style></author><author><style face="normal" font="default" size="100%">Manuel Mazo</style></author><author><style face="normal" font="default" size="100%">Sara Luengo-Sanchez</style></author><author><style face="normal" font="default" size="100%">Roberto Macho-Pedroso</style></author></translated-authors></contributors><titles><title><style face="normal" font="default" size="100%">Headgear Accessories Classification Using an Overhead Depth Sensor</style></title><secondary-title><style face="normal" font="default" size="100%">Sensors</style></secondary-title><short-title><style face="normal" font="default" size="100%">Sensors</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2017</style></year><pub-dates><date><style  face="normal" font="default" size="100%">08/2017</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.mdpi.com/1424-8220/17/8/1845http://www.mdpi.com/1424-8220/17/8/1845/pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">17</style></volume><pages><style face="normal" font="default" size="100%">1845</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">8</style></issue><section><style face="normal" font="default" size="100%">1845</style></section></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Tejedor, Javier</style></author><author><style face="normal" font="default" size="100%">Macias-Guarasa, Javier</style></author><author><style face="normal" font="default" size="100%">Martins, Hugo</style></author><author><style face="normal" font="default" size="100%">Pastor-Graells, Juan</style></author><author><style face="normal" font="default" size="100%">Corredera, Pedro</style></author><author><style face="normal" font="default" size="100%">Martin-Lopez, Sonia</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Machine Learning Methods for Pipeline Surveillance Systems Based on Distributed Acoustic Sensing: A Review</style></title><secondary-title><style face="normal" font="default" size="100%">Applied Sciences</style></secondary-title><short-title><style face="normal" font="default" size="100%">Applied Sciences</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2017</style></year><pub-dates><date><style  face="normal" font="default" size="100%">08/2017</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.mdpi.com/2076-3417/7/8/841http://www.mdpi.com/2076-3417/7/8/841/pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">7</style></volume><pages><style face="normal" font="default" size="100%">841</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">8</style></issue><section><style face="normal" font="default" size="100%">841</style></section></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Javier Tejedor</style></author><author><style face="normal" font="default" size="100%">Javier Macias-Guarasa</style></author><author><style face="normal" font="default" size="100%">Hugo F. Martins</style></author><author><style face="normal" font="default" size="100%">Daniel Piote</style></author><author><style face="normal" font="default" size="100%">Juan Pastor-Graells</style></author><author><style face="normal" font="default" size="100%">Sonia Martin-Lopez</style></author><author><style face="normal" font="default" size="100%">Pedro Corredera</style></author><author><style face="normal" font="default" size="100%">Miguel Gonzalez-Herraez</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A Novel Fiber Optic Based Surveillance System for Prevention of Pipeline Integrity Threats</style></title><secondary-title><style face="normal" font="default" size="100%">Sensors</style></secondary-title><short-title><style face="normal" font="default" size="100%">Sensors</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2017</style></year><pub-dates><date><style  face="normal" font="default" size="100%">02/2017</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.mdpi.com/1424-8220/17/2/355</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">17</style></volume><pages><style face="normal" font="default" size="100%">19</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">2</style></issue><section><style face="normal" font="default" size="100%">1</style></section></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Fernandez-Rincon, Alvaro</style></author><author><style face="normal" font="default" size="100%">Fuentes-Jimenez, David</style></author><author><style face="normal" font="default" size="100%">Cristina Losada-Gutierrez</style></author><author><style face="normal" font="default" size="100%">Marta Marron-Romera</style></author><author><style face="normal" font="default" size="100%">Luna, Carlos A.</style></author><author><style face="normal" font="default" size="100%">Javier Macias-Guarasa</style></author><author><style face="normal" font="default" size="100%">Manuel Mazo</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Robust People Detection and Tracking from an overhead Time-of-Flight Camera</style></title><secondary-title><style face="normal" font="default" size="100%">12th International Conference on Computer Vision Theory and Applications.</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2017</style></year><pub-dates><date><style  face="normal" font="default" size="100%">03/2017</style></date></pub-dates></dates><pub-location><style face="normal" font="default" size="100%">Porto, Portugal</style></pub-location><pages><style face="normal" font="default" size="100%">556-564</style></pages><isbn><style face="normal" font="default" size="100%">978-989-758-225-7</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">In this paper we describe a system for robust detection of people in a scene, by using an overhead Time of Flight (ToF) camera. The proposal addresses the problem of robust detection of people, by three means: a carefully designed algorithm to select regions of interest as candidates to belong to people; the generation of a robust feature vector that efficiently model the human upper body; and a people classification stage, to allow robust discrimination of people and other objects in the scene. The proposal also includes a particle filter tracker to allow people identification and tracking. Two classifiers are evaluated, based on Principal Component Analysis (PCA), and Support Vector Machines (SVM). The evaluation is carried out on a subset of a carefully designed dataset with a broad variety of conditions, providing results comparing the PCA and SVM approaches, and also the performance impact of the tracker, with satisfactory results.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Luna, Carlos A.</style></author><author><style face="normal" font="default" size="100%">Cristina Losada-Gutierrez</style></author><author><style face="normal" font="default" size="100%">Fuentes-Jimenez, David</style></author><author><style face="normal" font="default" size="100%">Fernandez-Rincon, Alvaro</style></author><author><style face="normal" font="default" size="100%">Manuel Mazo</style></author><author><style face="normal" font="default" size="100%">Javier Macias-Guarasa</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Robust People Detection Using Depth Information from an Overhead Time-of-Flight Camera</style></title><secondary-title><style face="normal" font="default" size="100%">Expert Systems with Applications</style></secondary-title><short-title><style face="normal" font="default" size="100%">Expert Systems with Applications</style></short-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Depth camera information</style></keyword><keyword><style  face="normal" font="default" size="100%">Feature extraction</style></keyword><keyword><style  face="normal" font="default" size="100%">Interest regions estimation</style></keyword><keyword><style  face="normal" font="default" size="100%">Overhead camera</style></keyword><keyword><style  face="normal" font="default" size="100%">People detection</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2017</style></year><pub-dates><date><style  face="normal" font="default" size="100%">04/2017</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://linkinghub.elsevier.com/retrieve/pii/S0957417416306480</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">71</style></volume><pages><style face="normal" font="default" size="100%">240-256</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><section><style face="normal" font="default" size="100%">240</style></section></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Marcos Baptista-Rios</style></author><author><style face="normal" font="default" size="100%">Marta Marron-Romera</style></author><author><style face="normal" font="default" size="100%">Cristina Losada-Gutierrez</style></author><author><style face="normal" font="default" size="100%">Cruz Lozano, Jose Angel</style></author><author><style face="normal" font="default" size="100%">Abril, Antonio del</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Robust system for partially occluded people detection in RGB images</style></title><secondary-title><style face="normal" font="default" size="100%">12th International Conference on Computer Vision Theory and Applications.</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2017</style></year><pub-dates><date><style  face="normal" font="default" size="100%">03/2017</style></date></pub-dates></dates><pages><style face="normal" font="default" size="100%">532-539</style></pages><isbn><style face="normal" font="default" size="100%">978-989-758-225-7)</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">This work presents a robust system for people detection in RGB images. The proposal increases the robustness of previous approaches against partial occlusions, and it is based on a bank of individual detectors whose results are combined using a multimodal association algorithm. Each individual detector is trained for a different body part (full body, half top, half bottom, half left and half right body parts). It consists of two elements: a feature extractor that obtains a Histogram of Oriented Gradients (HOG) descriptor, and a Support Vector Machine (SVM) for classification. Several experimental tests have been carried out in order to validate the proposal, using INRIA and CAVIAR datasets, that have been widely used by the scientific community. The obtained results show that the association of all the body part detections presents a better accuracy that any of the parts individually. Regarding the body parts, the best results have been obtained for the full body and half top body.
</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Javier Tejedor</style></author><author><style face="normal" font="default" size="100%">Javier Macias-Guarasa</style></author><author><style face="normal" font="default" size="100%">Hugo F. Martins</style></author><author><style face="normal" font="default" size="100%">Daniel Piote</style></author><author><style face="normal" font="default" size="100%">Juan Pastor-Graells</style></author><author><style face="normal" font="default" size="100%">Sonia Martin-Lopez</style></author><author><style face="normal" font="default" size="100%">Pedro Corredera</style></author><author><style face="normal" font="default" size="100%">Gui de Pauw</style></author><author><style face="normal" font="default" size="100%">Filip De Smet</style></author><author><style face="normal" font="default" size="100%">Willy Postvoll</style></author><author><style face="normal" font="default" size="100%">Carl H. Ahlen</style></author><author><style face="normal" font="default" size="100%">Miguel Gonzalez-Herraez</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Towards detection of Pipeline Integrity Threats using a SmarT fiber-OPtic surveillance system: PIT-STOP project Blind Field Test results</style></title><secondary-title><style face="normal" font="default" size="100%">2016 International Conference on Optical Fibre Sensors (OFS25)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2017</style></year><pub-dates><date><style  face="normal" font="default" size="100%">04/2017</style></date></pub-dates></dates><pub-location><style face="normal" font="default" size="100%">Jeju, Korea</style></pub-location><pages><style face="normal" font="default" size="100%">1-4</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record></records></xml>