<?xml version="1.0" encoding="UTF-8"?><xml><records><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%">Losada-Gutierrez, Cristina</style></author><author><style face="normal" font="default" size="100%">Fuentes-Jimenez, David</style></author><author><style face="normal" font="default" size="100%">Mazo, Manuel</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Fast heuristic method to detect people in frontal depth images</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><dates><year><style  face="normal" font="default" size="100%">2021</style></year><pub-dates><date><style  face="normal" font="default" size="100%">04/2021</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://linkinghub.elsevier.com/retrieve/pii/S0957417420311301</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">168</style></volume><pages><style face="normal" font="default" size="100%">114483</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>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%">Losada-Gutierrez, Cristina</style></author><author><style face="normal" font="default" size="100%">Fuentes-Jimenez, David</style></author><author><style face="normal" font="default" size="100%">Mazo, Manuel</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">People re-identification using depth and intensity information from an overhead 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%">People re-identificationDepth informationIntensity imagesOverhead depth cameraReal-time</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2021</style></year><pub-dates><date><style  face="normal" font="default" size="100%">11/2021</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://linkinghub.elsevier.com/retrieve/pii/S0957417421007181</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">182</style></volume><pages><style face="normal" font="default" size="100%">115287</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>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Sarker, Mohammad Ibrahim</style></author><author><style face="normal" font="default" size="100%">Losada-Gutierrez, Cristina</style></author><author><style face="normal" font="default" size="100%">Marron-Romera, Marta</style></author><author><style face="normal" font="default" size="100%">Fuentes-Jimenez, David</style></author><author><style face="normal" font="default" size="100%">Luengo-Sánchez, Sara</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Semi-Supervised Anomaly Detection in Video-Surveillance Scenes in the Wild</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%">2021</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Jan-06-2021</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.mdpi.com/1424-8220/21/12/3993https://www.mdpi.com/1424-8220/21/12/3993/pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">219275000</style></volume><pages><style face="normal" font="default" size="100%">3993</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">12</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%">Fuentes-Jimenez, David</style></author><author><style face="normal" font="default" size="100%">Martin-Lopez, Roberto</style></author><author><style face="normal" font="default" size="100%">Losada-Gutierrez, Cristina</style></author><author><style face="normal" font="default" size="100%">Casillas-Perez, David</style></author><author><style face="normal" font="default" size="100%">Macias-Guarasa, Javier</style></author><author><style face="normal" font="default" size="100%">Luna, Carlos A.</style></author><author><style face="normal" font="default" size="100%">Pizarro, Daniel</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">DPDnet: A robust people detector using deep learning with an overhead depth 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><dates><year><style  face="normal" font="default" size="100%">2020</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Jan-05-2020</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://dx.doi.org/10.1016/j.eswa.2019.113168</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">146</style></volume><pages><style face="normal" font="default" size="100%">113168</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>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;
</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%">Luengo-Sánchez, Sara</style></author><author><style face="normal" font="default" size="100%">Luna, Carlos A.</style></author><author><style face="normal" font="default" size="100%">Losada-Gutierrez, Cristina</style></author><author><style face="normal" font="default" size="100%">Mazo Quintas, Manuel</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Re-identificación de personas utilizando únicamente información de profundidad</style></title><secondary-title><style face="normal" font="default" size="100%">Revista telemática</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%">09/2019</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">18</style></volume><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><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>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.
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