Project-Team Stars
Members
Overall Objectives
Research Program
Application Domains
Highlights of the Year
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Dissemination
Bibliography
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Bibliography

Major publications by the team in recent years
  • 1A. Avanzi, F. Brémond, C. Tornieri, M. Thonnat.
    Design and Assessment of an Intelligent Activity Monitoring Platform, in: EURASIP Journal on Applied Signal Processing, Special Issue on “Advances in Intelligent Vision Systems: Methods and Applications”, August 2005, vol. 2005:14, pp. 2359-2374.
  • 2H. Benhadda, J. Patino, E. Corvee, F. Bremond, M. Thonnat.
    Data Mining on Large Video Recordings, in: 5eme Colloque Veille Stratégique Scientifique et Technologique VSST 2007, Marrakech, Marrocco, 21st - 25th October 2007.
  • 3B. Boulay, F. Bremond, M. Thonnat.
    Applying 3D Human Model in a Posture Recognition System, in: Pattern Recognition Letter, 2006, vol. 27, no 15, pp. 1785-1796.
  • 4F. Brémond, M. Thonnat.
    Issues of Representing Context Illustrated by Video-surveillance Applications, in: International Journal of Human-Computer Studies, Special Issue on Context, 1998, vol. 48, pp. 375-391.
  • 5G. Charpiat.
    Learning Shape Metrics based on Deformations and Transport, in: Proceedings of ICCV 2009 and its Workshops, Second Workshop on Non-Rigid Shape Analysis and Deformable Image Alignment (NORDIA), Kyoto, Japan, September 2009.
  • 6N. Chleq, F. Brémond, M. Thonnat.
    Advanced Video-based Surveillance Systems, Kluwer A.P. , Hangham, MA, USA, November 1998, pp. 108-118.
  • 7F. Cupillard, F. Brémond, M. Thonnat.
    Tracking Group of People for Video Surveillance, Video-Based Surveillance Systems, Kluwer Academic Publishers, 2002, vol. The Kluwer International Series in Computer Vision and Distributed Processing, pp. 89-100.
  • 8F. Fusier, V. Valentin, F. Bremond, M. Thonnat, M. Borg, D. Thirde, J. Ferryman.
    Video Understanding for Complex Activity Recognition, in: Machine Vision and Applications Journal, 2007, vol. 18, pp. 167-188.
  • 9B. Georis, F. Bremond, M. Thonnat.
    Real-Time Control of Video Surveillance Systems with Program Supervision Techniques, in: Machine Vision and Applications Journal, 2007, vol. 18, pp. 189-205.
  • 10C. Liu, P. Chung, Y. Chung, M. Thonnat.
    Understanding of Human Behaviors from Videos in Nursing Care Monitoring Systems, in: Journal of High Speed Networks, 2007, vol. 16, pp. 91-103.
  • 11N. Maillot, M. Thonnat, A. Boucher.
    Towards Ontology Based Cognitive Vision, in: Machine Vision and Applications (MVA), December 2004, vol. 16, no 1, pp. 33-40.
  • 12V. Martin, J.-M. Travere, F. Bremond, V. Moncada, G. Dunand.
    Thermal Event Recognition Applied to Protection of Tokamak Plasma-Facing Components, in: IEEE Transactions on Instrumentation and Measurement, Apr 2010, vol. 59, no 5, pp. 1182-1191.
  • 13S. Moisan.
    Knowledge Representation for Program Reuse, in: European Conference on Artificial Intelligence (ECAI), Lyon, France, July 2002, pp. 240-244.
  • 14S. Moisan.
    Une plate-forme pour une programmation par composants de systèmes à base de connaissances, Université de Nice-Sophia Antipolis, April 1998, Habilitation à diriger les recherches.
  • 15S. Moisan, A. Ressouche, J.-P. Rigault.
    Blocks, a Component Framework with Checking Facilities for Knowledge-Based Systems, in: Informatica, Special Issue on Component Based Software Development, November 2001, vol. 25, no 4, pp. 501-507.
  • 16J. Patino, H. Benhadda, E. Corvee, F. Bremond, M. Thonnat.
    Video-Data Modelling and Discovery, in: 4th IET International Conference on Visual Information Engineering VIE 2007, London, UK, 25th - 27th July 2007.
  • 17J. Patino, E. Corvee, F. Bremond, M. Thonnat.
    Management of Large Video Recordings, in: 2nd International Conference on Ambient Intelligence Developments AmI.d 2007, Sophia Antipolis, France, 17th - 19th September 2007.
  • 18A. Ressouche, D. Gaffé, V. Roy.
    Modular Compilation of a Synchronous Language, in: Software Engineering Research, Management and Applications, R. Lee (editor), Studies in Computational Intelligence, Springer, 2008, vol. 150, pp. 157-171, selected as one of the 17 best papers of SERA'08 conference.
  • 19A. Ressouche, D. Gaffé.
    Compilation Modulaire d'un Langage Synchrone, in: Revue des sciences et technologies de l'information, série Théorie et Science Informat ique, June 2011, vol. 4, no 30, pp. 441-471.
    http://hal.inria.fr/inria-00524499/en
  • 20M. Thonnat, S. Moisan.
    What Can Program Supervision Do for Software Re-use?, in: IEE Proceedings - Software Special Issue on Knowledge Modelling for Software Components Reuse, 2000, vol. 147, no 5.
  • 21M. Thonnat.
    Vers une vision cognitive: mise en oeuvre de connaissances et de raisonnements pour l'analyse et l'interprétation d'images, Université de Nice-Sophia Antipolis, October 2003, Habilitation à diriger les recherches.
  • 22M. Thonnat.
    Special issue on Intelligent Vision Systems, in: Computer Vision and Image Understanding, May 2010, vol. 114, no 5, pp. 501-502.
  • 23A. Toshev, F. Brémond, M. Thonnat.
    An A priori-based Method for Frequent Composite Event Discovery in Videos, in: Proceedings of 2006 IEEE International Conference on Computer Vision Systems, New York USA, January 2006.
  • 24V. Vu, F. Brémond, M. Thonnat.
    Temporal Constraints for Video Interpretation, in: Proc of the 15th European Conference on Artificial Intelligence, Lyon, France, 2002.
  • 25V. Vu, F. Brémond, M. Thonnat.
    Automatic Video Interpretation: A Novel Algorithm based for Temporal Scenario Recognition, in: The Eighteenth International Joint Conference on Artificial Intelligence (IJCAI'03), 9-15 September 2003.
  • 26N. Zouba, F. Bremond, A. Anfosso, M. Thonnat, E. Pascual, O. Guerin.
    Monitoring elderly activities at home, in: Gerontechnology, May 2010, vol. 9, no 2.
Publications of the year

Doctoral Dissertations and Habilitation Theses

Articles in International Peer-Reviewed Journals

  • 28S. Bak, F. Bremond.
    Person re-identification employing 3D scene information, in: Journal of Electronic Imaging, September 2015.
    https://hal.inria.fr/hal-01213036
  • 29G. Charpiat, G. Nardi, G. Peyré, F.-X. Vialard.
    Piecewise rigid curve deformation via a Finsler steepest descent, in: Interfaces and Free Boundaries, December 2015.
    https://hal.archives-ouvertes.fr/hal-00849885
  • 30C. Cunjian, A. Dantcheva, R. Arun.
    An ensemble of patch-based subspaces for makeup-robust face recognition, in: Information Fusion, October 2015. [ DOI : 10.1016/j.inffus.2015.09.005 ]
    https://hal.inria.fr/hal-01247886
  • 31A. Dantcheva, P. Elia, R. Arun.
    What else does your biometric data reveal? A survey on soft biometrics, in: IEEE Transactions on Information Forensics and Security, September 2015, vol. 11, no 3, pp. 441 - 467. [ DOI : 10.1109/TIFS.2015.2480381 ]
    https://hal.inria.fr/hal-01247885
  • 32S. Elloumi, S. Cosar, G. Pusiol, F. Bremond, M. Thonnat.
    Unsupervised discovery of human activities from long-time videos, in: IET Computer Vision, March 2015, 1 p.
    https://hal.inria.fr/hal-01123895
  • 33A. König, C. F. Crispim-Junior, A. G. U. Covella, F. Bremond, A. Derreumaux, G. Bensadoun, R. David, F. Verhey, P. Aalten, P. Robert.
    Ecological Assessment of Autonomy in Instrumental Activities of Daily Living in Dementia Patients by the Means of an Automatic Video Monitoring System, in: Frontiers in Aging Neuroscience, June 2015, vol. 7, 30 p. [ DOI : 10.3389/fnagi.2015.00098 ]
    https://hal.inria.fr/hal-01160022
  • 34L.-E. Sanchez, J. Andrés Diaz-Pace, A. Zunino, S. Moisan, J.-P. Rigault.
    An approach based on feature models and quality criteria for adapting component-based systems, in: Journal of Software Engineering Research and Development, June 2015, vol. 3, no 10. [ DOI : 10.1186/s40411-015-0022-1 ]
    https://hal.inria.fr/hal-01238074

Invited Conferences

  • 35F. Negin, S. Cosar, M. Koperski, F. Bremond.
    Generating Unsupervised Models for Online Long-Term Daily Living Activity Recognition, in: asian conference on pattern recognition (ACPR 2015), kuala lumpur, Malaysia, November 2015.
    https://hal.inria.fr/hal-01233494
  • 36M. K. PHAN TRAN, F. Bremond, P. Robert.
    Assistance for Older Adults in Serious Game using an Interactive System, in: Games and Learning Alliance conference, Rome, Italy, December 2015.
    https://hal.archives-ouvertes.fr/hal-01092329

International Conferences with Proceedings

  • 37D. P. Chau, K. Subramanian, F. Bremond.
    Adaptive Neuro-Fuzzy Controller for Multi-Object Tracker, in: 10th International Conference on Computer Vision Systems, Copenhagen, Denmark, July 2015.
    https://hal.inria.fr/hal-01164734
  • 38E. Maggiori, Y. Tarabalka, G. Charpiat.
    Improved Partition Trees for Multi-Class Segmentation of Remote Sensing Images, in: 2015 IEEE International Geoscience and Remote Sensing Symposium - IGARSS 2015, Milan, Italy, IEEE, July 2015.
    https://hal.inria.fr/hal-01182772
  • 39E. Maggiori, Y. Tarabalka, G. Charpiat.
    Optimizing Partition Trees for Multi-Object Segmentation with Shape Prior, in: 26th British Machine Vision Conference, Swansea, United Kingdom, September 2015.
    https://hal.inria.fr/hal-01182776

Conferences without Proceedings

  • 40P. Bilinski, F. Bremond.
    Video Covariance Matrix Logarithm for Human Action Recognition in Videos, in: IJCAI 2015 - 24th International Joint Conference on Artificial Intelligence (IJCAI), Buenos Aires, Argentina, July 2015.
    https://hal.inria.fr/hal-01216849
  • 41T. L. A. Nguyen, D. P. Chau, F. Bremond.
    Robust Global Tracker based on an Online Estimation of Tracklet Descriptor Reliability, in: Advanded Video and Signal-based Surveillance, Karlsruhe, Germany, August 2015.
    https://hal.inria.fr/hal-01185874
  • 42J. Ortiz, S. Bak, M. Koperski, F. Brémond.
    Minimizing hallucination in Histogram of Oriented Gradients, in: The 12th IEEE International Conference on Advanced Video and Signal-based, Karlsruhe, Germany, August 2015.
    https://hal.inria.fr/hal-01199386
  • 43I. Sarray, A. Ressouche, D. Gaffé, J.-Y. Tigli, S. Lavirotte.
    Safe Composition in Middleware for the Internet of Things, in: Middleware for Context-aware Applications for Internet of thing (M4IoT), Vancouver, Canada, December 2015. [ DOI : 10.1145/2836127.2836131 ]
    https://hal.inria.fr/hal-01236976
References in notes
  • 44M. Acher, P. Collet, F. Fleurey, P. Lahire, S. Moisan, J.-P. Rigault.
    Modeling Context and Dynamic Adaptations with Feature Models, in: Models@run.time Workshop, Denver, CO, USA, October 2009.
    http://hal.inria.fr/hal-00419990/en
  • 45M. Acher, P. Collet, P. Lahire, R. France.
    Managing Feature Models with FAMILIAR: a Demonstration of the Language and its Tool Support, in: Fifth International Workshop on Variability Modelling of Software-intensive Systems(VaMoS'11), Namur, Belgium, VaMoS, ACM, January 2011.
  • 46M. Acher, P. Lahire, S. Moisan, J.-P. Rigault.
    Tackling High Variability in Video Surveillance Systems through a Model Transformation Approach, in: ICSE'2009 - MISE Workshop, Vancouver, Canada, May 2009.
    http://hal.inria.fr/hal-00415770/en
  • 47J. Badie, F. Bremond.
    Global tracker: an online evaluation framework to improve tracking quality, in: AVSS, 2014.
    https://hal.inria.fr/hal-01062766
  • 48S.-H. Bae, K.-J. Yoon.
    Robust Online Multi-Object Tracking based on Tracklet Confidence and Online Discriminative Appearance Learning, in: CVPR, Columbus, IEEE, June 2014.
  • 49S. Bak, S. Zaidenberg, B. Boulay, F. Bremond.
    Improving Person Re-identification by Viewpoint Cues, in: Advanced Video and Signal-based Surveillance, Seoul, South Korea, August 2014, pp. 1-6.
    https://hal.archives-ouvertes.fr/hal-01004390
  • 50J. Berclaz, F. Fleuret, P. Fua.
    Multiple Object Tracking using Flow Linear Programming, 2009.
  • 51A. Bialkowski, S. Denman, S. Sridharan, C. Fookes, P. Lucey.
    A database for person re-identification in Multi-Camera Surveillance Networks, in: DICTA, 2012.
  • 52A. Borji, S. Frintrop, D. Sihite, L. IttiL.
    Adaptive object tracking by learning background context, in: CVPR, 2012.
    http://ilab.usc.edu/publications/doc/Borji_etal12ego.pdf
  • 53D. P. Chau, F. Bremond, M. Thonnat.
    Online evaluation of tracking algorithm performance, in: The 3rd International Conference on Imaging for Crime Detection and Prevention (ICDP), London,UK, , December 2009.
    https://hal.inria.fr/inria-00486479
  • 54D. P. Chau, F. Bremond, M. Thonnat, E. Corvee.
    Robust Mobile Object Tracking Based on Multiple Feature Similarity and Trajectory Filtering, in: The International Conference on Computer Vision Theory and Applications (VISAPP), Algarve, Portugal, March 2011, This work is supported by the PACA region, The General Council of Alpes Maritimes province, France as well as The ViCoMo, Vanaheim, Video-Id, Cofriend and Support projects.
    http://hal.inria.fr/inria-00599734/en/
  • 55N. Dalal, B. Triggs.
    Histograms of oriented gradients for human detection, in: Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on, IEEE, 2005, vol. 1, pp. 886–893.
  • 56R. David, E. Mulin, P. Mallea, P. Robert.
    Measurement of Neuropsychiatric Symptoms in Clinical Trials Targeting Alzheimer's Disease and Related Disorders, in: Pharmaceuticals, 2010, vol. 3, pp. 2387-2397.
  • 57P. Dollar, C. Wojek, B. Schiele, P. Perona.
    Pedestrian detection: An evaluation of the state of the art, in: Pattern Analysis and Machine Intelligence, IEEE Transactions on, 2012, vol. 34, no 4, pp. 743–761.
  • 58M. Enzweiler, D. M. Gavrila.
    Monocular pedestrian detection: Survey and experiments, in: Pattern Analysis and Machine Intelligence, IEEE Transactions on, 2009, vol. 31, no 12, pp. 2179–2195.
  • 59M. Evans, C. J. Osborne, J. Ferryman.
    Multicamera object detection and tracking with object size estimation, in: Advanced Video and Signal Based Surveillance (AVSS), 2013 10th IEEE International Conference on, 2013, pp. 177–182.
  • 60M. Farenzena, L. Bazzani, A. Perina, V. Murino, M. Cristani.
    Person re-identification by symmetry-driven accumulation of local features, in: CVPR, 2010.
  • 61R. Girshick, J. Donahue, T. Darrell, J. Malik.
    Rich feature hierarchies for accurate object detection and semantic segmentation, in: Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on, IEEE, 2014, pp. 580–587.
  • 62D. Gray, H. Tao.
    Viewpoint invariant pedestrian recognition with an ensemble of localized features, in: Computer Vision–ECCV 2008, Springer, 2008, pp. 262–275.
  • 63S. Haller.
    The Things in the Internet of Things, in: Poster at the (IoT 2010). Tokyo, Japan, November, 2010, vol. 5, 26 p.
    http://www.iot-a.eu/public/news/resources/TheThingsintheInternetofThings_SH.pdf
  • 64M. Hirzer, C. Beleznai, P. M. Roth, H. Bischof.
    Person Re-identification by Descriptive and Discriminative Classification, in: Image Analysis, Springer, 2011, pp. 91–102.
  • 65M. Hofmann, D. Wolf, G. Rigoll.
    Hypergraphs for Joint Multi-View Reconstruction and Multi-Object Tracking, 2013.
  • 66V. Hourdin, J.-Y. Tigli, S. Lavirotte, M. Riveill.
    Context-Sensitive Authorization for Asynchronous Communications, in: 4th International Conference for Internet Technology and Secured Transactions (ICITST), London UK, November 2009.
  • 67A. Karakostas, A. Briassouli, K. Avgerinakis, I. Kompatsiaris, M. Tsolaki.
    The Dem@Care Experiments and Datasets: a Technical Report, 2014.
  • 68A. Krizhevsky, G. Hinton.
    Learning multiple layers of features from tiny images, Citeseer, 2009.
  • 69A. Krizhevsky, I. Sutskever, G. E. Hinton.
    Imagenet classification with deep convolutional neural networks, in: Advances in neural information processing systems, 2012, pp. 1097–1105.
  • 70C.-H. Kuo, C. Huang, R. Nevatia.
    Multi-target tracking by on-line learned discriminative appearance models, in: CVPR, 2010.
  • 71C. Kästner, S. Apel, S. Trujillo, M. Kuhlemann, D. Batory.
    Guaranteeing Syntactic Correctness for All Product Line Variants: A Language-Independent Approach, in: TOOLS (47), 2009, pp. 175-194.
  • 72Y. LeCun, L. Bottou, Y. Bengio, P. Haffner.
    Gradient-based learning applied to document recognition, in: Proceedings of the IEEE, 1998, vol. 86, no 11, pp. 2278–2324.
  • 73Y. Li, C. Huang, R. Nevatia.
    Learning to Associate: HybridBoosted Multi-Target Tracker for Crowded Scene, 2009, The International Conference on Computer Vision and Pattern Recognition (CVPR).
  • 74A. Milan, S. Roth, K. Schindle.
    Continuous energy minimization for multi-target tracking, in: CVPR, 2014.
    http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6520846
  • 75A. Milan, K. Schindler, S. Roth.
    Detection-and Trajectory-Level Exclusion in Multiple Object Tracking, in: CVPR '13, 2013.
    http://www.cv-foundation.org/openaccess/content_cvpr_2013/html/Milan_Detection-_and_Trajectory-Level_2013_CVPR_paper.html
  • 76S. Moisan, J.-P. Rigault, M. Acher, P. Collet, P. Lahire.
    Run Time Adaptation of Video-Surveillance Systems: A software Modeling Approach, in: ICVS, 8th International Conference on Computer Vision Systems, Sophia Antipolis, France, September 2011.
    http://hal.inria.fr/inria-00617279/en
  • 77A. T. Nghiem, E. Auvinet, J. Meunier.
    Head detection using Kinect camera and its application to fall detection, in: Information Science, Signal Processing and their Applications (ISSPA), 2012 11th International Conference on, 2012, pp. 164-169.
    http://doi.org/10.1109/ISSPA.2012.6310538
  • 78M. Oren, C. Papageorgiou, P. Sinha, E. Osuna, T. Poggio.
    Pedestrian Detection Using Wavelet Templates, in: cvpr, 1997, pp. 193-99.
  • 79G. Pons-Moll, B. Rosenhahn.
    Branch-and-price global optimization for multi-view multi-target tracking, in, in: Proc. of the IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), IEEE, 2012, 2012.
  • 80L. M. Rocha, S. Moisan, J.-P. Rigault, S. Sagar.
    Girgit: A Dynamically Adaptive Vision System for Scene Understanding, in: ICVS, Sophia Antipolis, France, September 2011.
    http://hal.inria.fr/inria-00616642/en
  • 81M. Rohrbach, M. Regneri, M. Andriluka, S. Amin, M. Pinkal, B. Schiele.
    Script Data for Attribute-Based Recognition of Composite Activities, in: Computer Vision - ECCV 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part I, 2012, pp. 144–157.
  • 82R. Romdhane, E. Mulin, A. Derreumeaux, N. Zouba, J. Piano, L. Lee, I. Leroi, P. Mallea, R. David, M. Thonnat, F. Bremond, P. Robert.
    Automatic Video Monitoring system for assessment of Alzheimer's Disease symptoms, in: The Journal of Nutrition, Health and Aging Ms(JNHA), 2011, vol. JNHA-D-11-00004R1.
    http://hal.inria.fr/inria-00616747/en
  • 83P. Sermanet, D. Eigen, X. Zhang, M. Mathieu, R. Fergus, Y. LeCun.
    Overfeat: Integrated recognition, localization and detection using convolutional networks, in: arXiv preprint arXiv:1312.6229, 2013.
  • 84S. Tang, M. Andriluka, A. Milan, K. Schindler, S. Roth, B. Schiele.
    Learning People Detectors for Tracking in Crowded Scenes, in: IEEE International Conference on Computer Vision (ICCV), December 2013.
    http://www.cv-foundation.org/openaccess/content_iccv_2013/html/Tang_Learning_People_Detectors_2013_ICCV_paper.html
  • 85J.-Y. Tigli, S. Lavirotte, G. Rey, V. Hourdin, D. Cheung, E. Callegari, M. Riveill.
    WComp middleware for ubiquitous computing: Aspects and composite event-based Web services, in: Annals of Telecommunications, 2009, vol. 64, no 3-4, ISSN 0003-4347 (Print) ISSN 1958-9395 (Online).
  • 86J.-Y. Tigli, S. Lavirotte, G. Rey, V. Hourdin, M. Riveill.
    Lightweight Service Oriented Architecture for Pervasive Computing, in: IJCSI International Journal of Computer Science Issues, 2009, vol. 4, no 1, ISSN (Online): 1694-0784 ISSN (Print): 1694-0814.
  • 87J. R. Uijlings, K. E. van de Sande, T. Gevers, A. W. Smeulders.
    Selective search for object recognition, in: International journal of computer vision, 2013, vol. 104, no 2, pp. 154–171.
  • 88T. Wang, S. Gong, X. Zhu, S. Wang.
    Person Re-identification by Video Ranking, in: ECCV, 2014.
  • 89H. Wang, A. Klaser, C. Schmid, C.-L. Liu.
    Action Recognition by Dense Trajectories, in: Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition, Washington, DC, USA, CVPR '11, IEEE Computer Society, 2011, pp. 3169–3176.
    http://dx.doi.org/10.1109/CVPR.2011.5995407
  • 90H. Wang, A. Kläser, C. Schmid, C.-L. Liu.
    Action Recognition by Dense Trajectories, in: CVPR, June 2011, pp. 3169-3176.
  • 91K. Weinberger, J. Blitzer, L. Saul.
    Distance metric learning for large margin nearest neighbor classification, in: NIPS, 2006.
    www.jmlr.org/papers/volume10/weinberger09a/weinberger09a.pdf
  • 92C. Wojek, S. Walk, B. Schiele.
    Multi-cue onboard pedestrian detection, in: Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on, IEEE, 2009, pp. 794–801.
  • 93B. Wu, R. Nevatia.
    Cluster boosted tree classifier for multi-view, multi-pose object detection, in: Computer Vision, 2007. ICCV 2007. IEEE 11th International Conference on, IEEE, 2007, pp. 1–8.
  • 94I. A. K. Xu Yan, S. K. Shah.
    What do I see? Modeling Human Visual Perception for Multi-person Tracking, in: ECCV, Zurich, Germany, Sept 2014.
    http://www2.cs.uh.edu/~xuyan/docs/eccv2014.pdf
  • 95A. R. Zamir, A. Dehghan, M. Shah.
    GMCP-Tracker: Global Multi-object Tracking Using Generalized Minimum Clique Graphs, in: ECCV, 2012.
  • 96R. Zhao, W. Ouyang, X. Wang.
    Unsupervised salience learning for person re-identification, in: CVPR, 2013.
  • 97R. Zhao, W. Ouyang, X. Wang.
    Learning Mid-level Filters for Person Re-identfiation, in: CVPR, 2014.
  • 98W. Zheng, S. Gong, T. Xiang.
    Person re-identification by probabilistic relative distance comparison, in: CVPR, 2011.
    http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5995598

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