@conference {82, title = {3D Audiovisual Speaker Tracking with Distributed Sensors Configuration}, booktitle = {2020 28th European Signal Processing Conference (EUSIPCO)}, year = {2021}, month = {01/2021}, pages = {256 - 260}, publisher = {IEEE}, organization = {IEEE}, address = {Amsterdam, Netherlands}, doi = {10.23919/Eusipco47968.202110.23919/Eusipco47968.2020.9287677}, url = {https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=9287308https://ieeexplore.ieee.org/document/9287677/http://xplorestaging.ieee.org/ielx7/9287308/9287310/09287677.pdf?arnumber=9287677}, author = {Sanabria-Macias, Frank and Marron-Romera, Marta and Macias-Guarasa, Javier} } @article {109, title = {Acoustic source localization with deep generalized cross correlations}, journal = {Signal Processing}, volume = {187}, year = {2021}, month = {10/2021}, pages = {108169}, issn = {01651684}, doi = {10.1016/j.sigpro.2021.108169}, url = {https://linkinghub.elsevier.com/retrieve/pii/S0165168421002073}, author = {Vera-Diaz, Juan Manuel and Pizarro, Daniel and Macias-Guarasa, Javier} } @article {110, title = {Fast heuristic method to detect people in frontal depth images}, journal = {Expert Systems with Applications}, volume = {168}, year = {2021}, month = {04/2021}, pages = {114483}, issn = {09574174}, doi = {10.1016/j.eswa.2020.114483}, url = {https://linkinghub.elsevier.com/retrieve/pii/S0957417420311301}, author = {Luna, Carlos A. and Losada-Gutierrez, Cristina and Fuentes-Jimenez, David and Mazo, Manuel} } @article {84, title = {A Multi-Position Approach in a Smart Fiber-Optic Surveillance System for Pipeline Integrity Threat Detection}, journal = {Electronics}, volume = {10}, year = {2021}, month = {Jan-03-2021}, pages = {712}, doi = {10.3390/electronics10060712}, url = {https://www.mdpi.com/2079-9292/10/6/712https://www.mdpi.com/2079-9292/10/6/712/pdf}, author = {Tejedor, Javier and Macias-Guarasa, Javier and Martins, Hugo F. and Martin-Lopez, Sonia and Gonzalez-Herraez, Miguel} } @article {108, title = {People re-identification using depth and intensity information from an overhead camera}, journal = {Expert Systems with Applications}, volume = {182}, year = {2021}, month = {11/2021}, pages = {115287}, keywords = {People re-identificationDepth informationIntensity imagesOverhead depth cameraReal-time}, issn = {09574174}, doi = {10.1016/j.eswa.2021.115287}, url = {https://linkinghub.elsevier.com/retrieve/pii/S0957417421007181}, author = {Luna, Carlos A. and Losada-Gutierrez, Cristina and Fuentes-Jimenez, David and Mazo, Manuel} } @article {116, title = {Revisiting Binary Local Image Description for Resource Limited Devicessupp1-3107024.mp4}, journal = {IEEE Robotics and Automation Letters}, volume = {6}, year = {2021}, month = {10/2021}, pages = {8317 - 8324}, doi = {10.1109/LRA.2021.310702410.1109/LRA.2021.3107024/mm1}, url = {https://ieeexplore.ieee.org/document/9521740/http://xplorestaging.ieee.org/ielx7/7083369/9475905/09521740.pdf?arnumber=9521740https://ieeexplore.ieee.org/ielx7/7083369/9475905/9521740/supp1-3107024.mp4?arnumber=9521740}, author = {Su{\'a}rez, Iago and Buenaposada, Jos{\'e} M. and Baumela, Luis and Su{\'a}rez, Iago} } @article {111, title = {Semi-Supervised Anomaly Detection in Video-Surveillance Scenes in the Wild}, journal = {Sensors}, volume = {219275000}, year = {2021}, month = {Jan-06-2021}, pages = {3993}, doi = {10.3390/s21123993}, url = {https://www.mdpi.com/1424-8220/21/12/3993https://www.mdpi.com/1424-8220/21/12/3993/pdf}, author = {Sarker, Mohammad Ibrahim and Losada-Gutierrez, Cristina and Marron-Romera, Marta and Fuentes-Jimenez, David and Luengo-S{\'a}nchez, Sara} } @article {112, title = {Smart Video Surveillance System Based on Edge Computing}, journal = {Sensors}, volume = {2136843}, year = {2021}, month = {Jan-05-2021}, pages = {2958}, doi = {10.3390/s21092958}, url = {https://www.mdpi.com/1424-8220/21/9/2958https://www.mdpi.com/1424-8220/21/9/2958/pdf}, author = {Cob-Parro, Antonio Carlos and Losada Guti{\'e}rrez, Cristina and Marron-Romera, Marta and Gardel-Vicente, Alfredo and Bravo-Mu{\~n}oz, Ignacio} } @conference {83, title = {Towards Domain Independence in CNN-based Acoustic Localization using Deep Cross Correlations}, booktitle = {2020 28th European Signal Processing Conference (EUSIPCO)}, year = {2021}, month = {01/2021}, pages = {226 - 230}, publisher = {IEEE}, organization = {IEEE}, address = {Amsterdam, Netherlands}, doi = {10.23919/Eusipco47968.202110.23919/Eusipco47968.2020.9287466}, url = {https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=9287308https://ieeexplore.ieee.org/document/9287466/http://xplorestaging.ieee.org/ielx7/9287308/9287310/09287466.pdf?arnumber=9287466}, author = {Vera-Diaz, Juan Manuel and Pizarro, Daniel and Macias-Guarasa, Javier} } @article {95, title = {BEBLID: Boosted efficient binary local image descriptor}, journal = {Pattern Recognition Letters}, volume = {133}, year = {2020}, month = {Jan-05-2020}, pages = {366 - 372}, issn = {01678655}, doi = {10.1016/j.patrec.2020.04.005}, url = {https://linkinghub.elsevier.com/retrieve/pii/S0167865520301252}, author = {Su{\'a}rez, Iago and Sfeir, Ghesn and Buenaposada, Jos{\'e} M. and Baumela, Luis} } @article {96, title = {Cascade of encoder-decoder CNNs with learned coordinates regressor for robust facial landmarks detection}, journal = {Pattern Recognition Letters}, volume = {136}, year = {2020}, month = {Jan-08-2020}, pages = {326 - 332}, issn = {01678655}, doi = {10.1016/j.patrec.2019.10.012}, url = {https://linkinghub.elsevier.com/retrieve/pii/S0167865519302910}, author = {Valle, Roberto and Buenaposada, Jos{\'e} M. and Baumela, Luis} } @article {81, title = {DPDnet: A robust people detector using deep learning with an overhead depth camera}, journal = {Expert Systems with Applications}, volume = {146}, year = {2020}, month = {Jan-05-2020}, pages = {113168}, issn = {09574174}, doi = {10.1016/j.eswa.2019.113168}, url = {http://dx.doi.org/10.1016/j.eswa.2019.113168}, author = {Fuentes-Jimenez, David and Martin-Lopez, Roberto and Losada-Gutierrez, Cristina and Casillas-Perez, David and Macias-Guarasa, Javier and Luna, Carlos A. and Pizarro, Daniel} } @article {94, title = {Improving multi-class Boosting-based object detection}, journal = {Integrated Computer-Aided Engineering}, volume = {28}, year = {2020}, month = {Sep-12-2021}, pages = {81 - 96}, issn = {10692509}, doi = {10.3233/ICA-200636}, url = {https://www.medra.org/servlet/aliasResolver?alias=iospress\&doi=10.3233/ICA-200636https://content.iospress.com/download?id=10.3233/ICA-200636}, author = {Buenaposada, Jose Miguel and Baumela, Luis} } @article {93, title = {Multi-task head pose estimation in-the-wild}, journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence}, year = {2020}, month = {Jan-01-2020}, pages = {1 - 1}, issn = {0162-8828}, doi = {10.1109/TPAMI.3410.1109/TPAMI.2020.3046323}, url = {https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=34https://ieeexplore.ieee.org/document/9303369/http://xplorestaging.ieee.org/ielx7/34/4359286/09303369.pdf?arnumber=9303369}, author = {Valle, Roberto and Buenaposada, Jose Miguel and Baumela, Luis} } @article {80, title = {Segregating the true perturbation position from ghost energy points region in ϕ-OTDR systems}, journal = {Optics Express}, volume = {28}, year = {2020}, month = {Jan-01-2020}, pages = {2699-2713}, doi = {10.1364/OE.378365}, url = {https://www.osapublishing.org/abstract.cfm?URI=oe-28-3-2699https://www.osapublishing.org/viewmedia.cfm?URI=oe-28-3-2699\&seq=0}, author = {Adeel, Muhammad and Tejedor, Javier and Macias-Guarasa, Javier and Shang, Chao and Lu, Chao} } @article {79, title = {Undiscovered issues and solutions for direct detected ϕ-OTDR systems}, journal = {Optical Fiber Technology}, volume = {60}, year = {2020}, month = {12/2020}, pages = {102346}, issn = {1068-5200}, doi = {10.1016/j.yofte.2020.102346}, url = {http://dx.doi.org/10.1016/j.yofte.2020.102346}, author = {Adeel, Muhammad and Tejedor, Javier and Macias-Guarasa, Javier and Zhu, Kun} } @book {98, title = {BELID: Boosted Efficient Local Image Descriptor}, volume = {118671186027313636373210}, year = {2019}, pages = {449 - 460}, publisher = {Springer International Publishing}, organization = {Springer International Publishing}, address = {Cham}, isbn = {978-3-030-31331-9}, issn = {0302-9743}, doi = {10.1007/978-3-030-31332-6_39}, url = {http://link.springer.com/10.1007/978-3-030-31332-6}, author = {Su{\'a}rez, Iago and Sfeir, Ghesn and Buenaposada, Jos{\'e} M. and Baumela, Luis} } @conference {119, title = {Boosting Object Detection in Cyberphysical Systems}, booktitle = {Understanding the Brain Function and Emotions}, year = {2019}, pages = {309{\textendash}318}, publisher = {Springer International Publishing}, organization = {Springer International Publishing}, address = {Cham}, abstract = {

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.

}, isbn = {978-3-030-19591-5}, author = {Buenaposada, Jos{\'e} M. and Baumela, Luis}, editor = {Ferr{\'a}ndez Vicente, Jos{\'e} Manuel and {\'A}lvarez-S{\'a}nchez, Jos{\'e} Ram{\'o}n and de la Paz L{\'o}pez, F{\'e}lix and Toledo Moreo, Javier and Adeli, Hojjat} } @article {70, title = {A Contextual GMM-HMM Smart Fiber Optic Surveillance System for Pipeline Integrity Threat Detection}, journal = {Journal of Lightwave Technology}, year = {2019}, month = {Jan-01-2019}, pages = {1 - 1}, abstract = {

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 (\ ϕ\ -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).

}, issn = {0733-8724}, doi = {10.1109/JLT.2019.2908816}, url = {https://ieeexplore.ieee.org/document/8680010/http://xplorestaging.ieee.org/ielx7/50/4357488/08680010.pdf?arnumber=8680010}, author = {Tejedor, Javier and Macias-Guarasa, Javier and Martins, Hugo and Martin-Lopez, Sonia and Gonzalez-Herraez, Miguel} } @article {97, title = {Face alignment using a 3D deeply-initialized ensemble of regression trees}, journal = {Computer Vision and Image Understanding}, volume = {189361061075916223132547447217141}, year = {2019}, month = {Jan-12-2019}, pages = {102846}, issn = {10773142}, doi = {10.1016/j.cviu.2019.102846}, url = {https://linkinghub.elsevier.com/retrieve/pii/S1077314219301444}, author = {Valle, Roberto and Buenaposada, Jos{\'e} M. and Vald{\'e}s, Antonio and Baumela, Luis} } @conference {78, title = {Face tracking with a probabilistic Viola and Jones face detector }, booktitle = {IECON 2019: 45th Annual Conference of the IEEE Industrial Electronics Society}, year = {2019}, month = {10/2019}, publisher = {IEEE}, organization = {IEEE}, address = {Lisbon, Portugal}, author = {Sanabria Mac{\'\i}as, Frank and Marron-Romera, Marta and Macias-Guarasa, Javier and Noa Turnes, Javier and Mara{\~n}{\'o}n Reyes, Enrique} } @conference {118, title = {Facial Landmarks Detection Using a Cascade of Recombinator Networks}, booktitle = {Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications}, year = {2019}, pages = {575{\textendash}583}, publisher = {Springer International Publishing}, organization = {Springer International Publishing}, address = {Cham}, abstract = {

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.

}, isbn = {978-3-030-13469-3}, author = {L{\'o}pez, Pedro Diego and Valle, Roberto and Baumela, Luis}, editor = {Vera-Rodriguez, Ruben and Fierrez, Julian and Morales, Aythami} } @conference {117, title = {Facial Landmarks Detection Using a Cascade of Recombinator Networks}, booktitle = {Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications}, year = {2019}, pages = {575{\textendash}583}, publisher = {Springer International Publishing}, organization = {Springer International Publishing}, address = {Cham}, abstract = {

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.

}, isbn = {978-3-030-13469-3}, author = {L{\'o}pez, Pedro Diego and Valle, Roberto and Baumela, Luis}, editor = {Vera-Rodriguez, Ruben and Fierrez, Julian and Morales, Aythami} } @book {100, title = {Facial Landmarks Detection Using a Cascade of Recombinator Networks}, volume = {1140138}, year = {2019}, pages = {575 - 583}, publisher = {Springer International Publishing}, organization = {Springer International Publishing}, address = {Cham}, isbn = {978-3-030-13468-6}, issn = {0302-9743}, doi = {10.1007/978-3-030-13469-3_67}, url = {http://link.springer.com/10.1007/978-3-030-13469-3}, author = {L{\'o}pez, Pedro Diego and Valle, Roberto and Baumela, Luis} } @article {115, title = {Geometrical Analysis of Polynomial Lens Distortion Models}, journal = {Journal of Mathematical Imaging and Vision}, volume = {61}, year = {2019}, month = {03/2019}, pages = {252 - 268}, issn = {0924-9907}, doi = {10.1007/s10851-018-0833-x}, url = {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}, author = {Ronda, Jose I. and Vald{\'e}s, Antonio} } @article {77, title = {Improved Perturbation Detection in Direct Detected $\phi$ -OTDR Systems using Matched Filtering}, journal = {IEEE Photonics Technology Letters}, volume = {31}, year = {2019}, month = {Jan-11-2019}, pages = {1689 - 1692}, issn = {1041-1135}, doi = {10.1109/LPT.6810.1109/LPT.2019.2940297}, url = {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}, author = {Adeel, Muhammad and Tejedor, Javier and Macias-Guarasa, Javier and Lu, Chao} } @book {99, title = {Lecture Notes in Computer ScienceUnderstanding the Brain Function and EmotionsBoosting Object Detection in Cyberphysical Systems}, volume = {1148623679165137422}, year = {2019}, pages = {309 - 318}, publisher = {Springer International Publishing}, organization = {Springer International Publishing}, address = {Cham}, isbn = {978-3-030-19590-8}, issn = {0302-9743}, doi = {10.1007/978-3-030-19591-5_32}, url = {http://link.springer.com/10.1007/978-3-030-19591-5}, author = {Buenaposada, Jos{\'e} M. and Baumela, Luis} } @article {66, title = {A realistic evaluation of indoor robot position tracking systems: The IPIN 2016 competition experience}, journal = {Measurement}, volume = {135}, year = {2019}, month = {01/2019}, pages = {151 - 162}, abstract = {

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.

}, issn = {02632241}, doi = {10.1016/j.measurement.2018.11.018}, url = {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}, author = {P{\'e}rez-Rubio, Maria Carmen and Losada-Gutierrez, Cristina and Espinosa, Felipe and Macias-Guarasa, Javier and Tiemann, Janis and Eckermann, Fabian and Wietfeld, Christian and Katkov, Maxim and Huba, Sergey and Ure{\~n}a, Jes{\'u}s and Villadangos, Jos{\'e} Manuel and Gualda, David and D{\'\i}az, Edel and Nieto, Rub{\'e}n and Santiso, Enrique and del Portillo, Pablo and Mart{\'\i}nez, Miguel} } @article {114, title = {Re-identificaci{\'o}n de personas utilizando {\'u}nicamente informaci{\'o}n de profundidad}, journal = {Revista telem{\'a}tica}, volume = {18}, year = {2019}, month = {09/2019}, issn = {1729-3804}, author = {Luengo-S{\'a}nchez, Sara and Luna, Carlos A. and Losada-Gutierrez, Cristina and Mazo Quintas, Manuel} } @conference {75, title = {An{\'a}lisis postural sin contacto y en tiempo real de personas ancianas para la evaluaci{\'o}n de trastornos del sue{\~n}o}, booktitle = {Seminario Anual de Autom{\'a}tica y Electr{\'o}nica Industrial (SAAEI{\textquoteright}18)}, year = {2018}, month = {07/2018}, author = {Garc{\'\i}a Merino, Antonio and Losada Guti{\'e}rrez, Cristina and Garc{\'\i}a de Villa, S. and Jim{\'e}nez Mart{\'\i}n, Ana and Garc{\'\i}a Dom{\'\i}nguez, Juan Jes{\'u}s} } @article {102, title = {BAdaCost: Multi-class Boosting with Costs}, journal = {Pattern Recognition}, volume = {79}, year = {2018}, month = {Jan-07-2018}, pages = {467 - 479}, issn = {00313203}, doi = {10.1016/j.patcog.2018.02.022}, url = {https://linkinghub.elsevier.com/retrieve/pii/S0031320318300748}, author = {Fern{\'a}ndez-Baldera, Antonio and Buenaposada, Jos{\'e} M. and Baumela, Luis} } @book {103, title = {Benchmarking Head Pose Estimation in-the-Wild}, volume = {10657}, year = {2018}, pages = {45 - 52}, publisher = {Springer International Publishing}, organization = {Springer International Publishing}, address = {Cham}, isbn = {978-3-319-75192-4}, issn = {0302-9743}, doi = {10.1007/978-3-319-75193-1_6}, url = {http://link.springer.com/10.1007/978-3-319-75193-1}, author = {Amador, Elvira and Valle, Roberto and Buenaposada, Jos{\'e} M. and Baumela, Luis} } @conference {76, title = {Conctactless real-time analysis of elderly people posture for sleep disorders evaluation}, booktitle = {9th International Conference on Indoor Positioning and Indoor Navigation IPIN 2018}, year = {2018}, month = {09/2018}, author = {Garc{\'\i}a Merino, A. and Losada Guti{\'e}rrez, Cristina and Garc{\'\i}a de Villa, S. and Jim{\'e}nez Mart{\'\i}n, Ana and Garc{\'\i}a Dom{\'\i}nguez, Juan Jes{\'u}s} } @conference {101, title = {FSG: A statistical approach to line detection via fast segments grouping}, booktitle = {2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)}, year = {2018}, pages = {97 - 102}, publisher = {IEEE}, organization = {IEEE}, address = {Madrid}, doi = {10.1109/IROS.2018.8594434}, url = {https://ieeexplore.ieee.org/document/8594434/}, author = {Su{\'a}rez, Iago and Mu{\~n}oz, Enrique and Buenaposada, Jos{\'e} M. and Baumela, Luis} } @conference {85, title = {A Gaussian Mixture Model-Hidden Markov Model (GMM-HMM)-based fiber optic surveillance system for pipeline integrity threat detection}, booktitle = {Optical Fiber Sensors26th International Conference on Optical Fiber Sensors}, year = {2018}, pages = {WF36}, publisher = {OSA}, organization = {OSA}, address = {LausanneWashington, D.C.}, doi = {10.1364/OFS.2018.WF36}, url = {https://www.osapublishing.org/abstract.cfm?URI=OFS-2018-WF36https://www.osapublishing.org/viewmedia.cfm?URI=OFS-2018-WF36\&seq=0}, author = {Tejedor, J. and Macias-Guarasa, J. and Martins, H. F. and Martin-Lopez, S. and Gonzalez-Herraez, M.} } @conference {104, title = {Learning Depth from Monocular Videos Using Direct Methods}, booktitle = {2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2018}, month = {jun}, pages = {2022-2030}, publisher = {IEEE Computer Society}, organization = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, keywords = {cameras, estimation, loss measurement, pipelines, training, videos, visual odometry}, doi = {10.1109/CVPR.2018.00216}, url = {https://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00216}, author = {C. Wang and J. Buenaposada and R. Zhu and S. Lucey} } @conference {107, title = {Learning Depth from Monocular Videos Using Direct Methods}, booktitle = {2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition}, year = {2018}, pages = {2022 - 2030}, publisher = {IEEE}, organization = {IEEE}, address = {Salt Lake City, UT, USA}, doi = {10.1109/CVPR.2018.00216}, url = {https://ieeexplore.ieee.org/document/8578314/}, author = {Wang, Chaoyang and Buenaposada, Jose Miguel and Zhu, Rui and Lucey, Simon} } @book {106, title = {Lecture Notes in Computer ScienceComputer Vision {\textendash} ECCV 2018A Deeply-Initialized Coarse-to-fine Ensemble of Regression Trees for Face Alignment}, volume = {11218365947472372}, year = {2018}, pages = {609 - 624}, publisher = {Springer International Publishing}, organization = {Springer International Publishing}, address = {Cham}, isbn = {978-3-030-01263-2}, issn = {0302-9743}, doi = {10.1007/978-3-030-01264-9_36}, url = {http://link.springer.com/10.1007/978-3-030-01264-9}, author = {Valle, Roberto and Buenaposada, Jos{\'e} M. and Vald{\'e}s, Antonio and Baumela, Luis}, editor = {Ferrari, Vittorio and Hebert, Martial and Sminchisescu, Cristian and Weiss, Yair} } @article {105, title = {Multi-class segmentation of neuronal structures in electron microscopy images}, journal = {BMC Bioinformatics}, volume = {19}, year = {2018}, month = {Jan-12-2018}, doi = {10.1186/s12859-018-2305-0}, url = {https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-018-2305-0}, author = {Cetina, Kendrick and Buenaposada, Jos{\'e} M. and Baumela, Luis} } @article {67, title = {Real Field Deployment of a Smart Fiber-Optic Surveillance System for Pipeline Integrity Threat Detection: Architectural Issues and Blind Field Test Results}, journal = {Journal of Lightwave Technology}, volume = {36}, year = {2018}, month = {02-2018}, pages = {1052 - 1062}, issn = {0733-8724}, doi = {10.1109/JLT.2017.2780126}, url = {http://ieeexplore.ieee.org/document/8166723/http://xplorestaging.ieee.org/ielx7/50/8290608/08166723.pdf?arnumber=8166723}, author = {Tejedor, Javier and Macias-Guarasa, Javier and Martins, Hugo F. and Pastor-Graells, Juan and Martin-Lopez, Sonia and Guillen, Pedro Corredera and De Pauw, Guy and De Smet, Filip and Postvoll, Willy and Ahlen, Carl H. and Gonzalez-Herraez, Miguel} } @conference {73, title = {Re-identificaci{\'o}n de personas en entornos interiores sin restricciones}, booktitle = {X Congreso Internacional de Telem{\'a}tica y Telecomunicaciones (CITTEL 2018) }, year = {2018}, month = {11/2018}, author = {L{\'o}pez Diz, Sergio and Losada Guti{\'e}rrez, Cristina and Marr{\'o}n Romera, Marta and Luna V{\'a}zquez, Carlos Andr{\'e}s and Mazo Quintas, Manuel} } @conference {74, title = {Re-identificaci{\'o}n de personas utilizando {\'u}nicamente informaci{\'o}n de profundidad}, booktitle = {X Congreso Internacional de Telem{\'a}tica y Telecomunicaciones (CITTEL 2018) }, year = {2018}, month = {11/2018}, author = {Luengo S{\'a}nchez, Sara and Luna V{\'a}zquez, Carlos Andr{\'e}s and Losada Guti{\'e}rrez, Cristina and Mazo Quintas, Manuel} } @article {65, title = {Towards End-to-End Acoustic Localization Using Deep Learning: From Audio Signals to Source Position Coordinates}, journal = {Sensors}, volume = {18}, year = {2018}, month = {10/2018}, pages = {1-22}, chapter = {1}, abstract = {

This paper presents a novel approach for indoor acoustic source localization using microphone arrays, based on a Convolutional Neural Network (CNN). 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 on{\^A}\ SRP-PHAT{\^A}\ 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 speaker{\^a}{\texteuro}{\texttrademark}s gender, nor on the size of the signal window being used.

}, issn = {1424-8220}, doi = {10.3390/s18103418}, url = {http://www.mdpi.com/1424-8220/18/10/3418}, author = {Vera-Diaz, Juan and Pizarro, Daniel and Macias-Guarasa, Javier} } @article {71, title = {Comparing the Performance of Indoor Localization Systems through the EvAAL Framework}, journal = {Sensors}, volume = {178417}, year = {2017}, month = {Jan-10-2017}, pages = {2327}, doi = {10.3390/s17102327}, url = {http://www.mdpi.com/1424-8220/17/10/2327http://www.mdpi.com/1424-8220/17/10/2327/pdf}, author = {{\`\i}, Francesco and Park, Sangjoon and {\'e}nez Ruiz, Antonio and Barsocchi, Paolo and Girolami, Michele and Crivello, Antonino and Lee, So and Lim, Jae and Torres-Sospedra, {\'\i}n and Seco, Fernando and Montoliu, Raul and Mendoza-Silva, {\'a}n and {\'e}rez Rubio, Maria and {\'e}rrez, Cristina and Espinosa, Felipe and Macias-Guarasa, Javier} } @article {68, title = {Headgear Accessories Classification Using an Overhead Depth Sensor}, journal = {Sensors}, volume = {17}, year = {2017}, month = {08/2017}, pages = {1845}, chapter = {1845}, doi = {10.3390/s17081845}, url = {http://www.mdpi.com/1424-8220/17/8/1845http://www.mdpi.com/1424-8220/17/8/1845/pdf} } @article {69, title = {Machine Learning Methods for Pipeline Surveillance Systems Based on Distributed Acoustic Sensing: A Review}, journal = {Applied Sciences}, volume = {7}, year = {2017}, month = {08/2017}, pages = {841}, chapter = {841}, doi = {10.3390/app7080841}, url = {http://www.mdpi.com/2076-3417/7/8/841http://www.mdpi.com/2076-3417/7/8/841/pdf}, author = {Tejedor, Javier and Macias-Guarasa, Javier and Martins, Hugo and Pastor-Graells, Juan and Corredera, Pedro and Martin-Lopez, Sonia} } @article {61, title = {A Novel Fiber Optic Based Surveillance System for Prevention of Pipeline Integrity Threats}, journal = {Sensors}, volume = {17}, year = {2017}, month = {02/2017}, pages = {19}, chapter = {1}, issn = {1424-8220}, doi = {10.3390/s17020355}, url = {http://www.mdpi.com/1424-8220/17/2/355}, author = {Javier Tejedor and Javier Macias-Guarasa and Hugo F. Martins and Daniel Piote and Juan Pastor-Graells and Sonia Martin-Lopez and Pedro Corredera and Miguel Gonzalez-Herraez} } @conference {62, title = {Robust People Detection and Tracking from an overhead Time-of-Flight Camera}, booktitle = {12th International Conference on Computer Vision Theory and Applications.}, year = {2017}, month = {03/2017}, pages = {556-564}, address = {Porto, Portugal}, abstract = {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.}, isbn = {978-989-758-225-7}, doi = {10.5220/0006169905560564}, author = {Fernandez-Rincon, Alvaro and Fuentes-Jimenez, David and Cristina Losada-Gutierrez and Marta Marron-Romera and Luna, Carlos A. and Javier Macias-Guarasa and Manuel Mazo} } @article {59, title = {Robust People Detection Using Depth Information from an Overhead Time-of-Flight Camera}, journal = {Expert Systems with Applications}, volume = {71}, year = {2017}, month = {04/2017}, pages = {240-256}, chapter = {240}, keywords = {Depth camera information, Feature extraction, Interest regions estimation, Overhead camera, People detection}, issn = {09574174}, doi = {10.1016/j.eswa.2016.11.019}, url = {http://linkinghub.elsevier.com/retrieve/pii/S0957417416306480}, author = {Luna, Carlos A. and Cristina Losada-Gutierrez and Fuentes-Jimenez, David and Fernandez-Rincon, Alvaro and Manuel Mazo and Javier Macias-Guarasa} } @conference {63, title = {Robust system for partially occluded people detection in RGB images}, booktitle = {12th International Conference on Computer Vision Theory and Applications.}, year = {2017}, month = {03/2017}, pages = {532-539}, abstract = {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. }, isbn = {978-989-758-225-7)}, doi = {10.5220/0006165005320539}, author = {Marcos Baptista-Rios and Marta Marron-Romera and Cristina Losada-Gutierrez and Cruz Lozano, Jose Angel and Abril, Antonio del} } @conference {60, title = {Towards detection of Pipeline Integrity Threats using a SmarT fiber-OPtic surveillance system: PIT-STOP project Blind Field Test results}, booktitle = {2016 International Conference on Optical Fibre Sensors (OFS25)}, year = {2017}, month = {04/2017}, pages = {1-4}, address = {Jeju, Korea}, author = {Javier Tejedor and Javier Macias-Guarasa and Hugo F. Martins and Daniel Piote and Juan Pastor-Graells and Sonia Martin-Lopez and Pedro Corredera and Gui de Pauw and Filip De Smet and Willy Postvoll and Carl H. Ahlen and Miguel Gonzalez-Herraez} }