, Les nombreuses améliorations devraient induire des gains substantiels de performances en relatif (comme pointées ici) mais aussi en absolu, Ces travaux ouvrent de belles perspectives

, L'objectif ultime est de traiter simultanément la chaîne complète c'est-à-dire depuis l'acquisition du flux jusqu'à l'inférence de ré-ID. Des travaux antérieurs [Mekonnen 2018] ont traité conjointement les modalités détection et suivi de personnes. Nous pouvons faire de même en ajoutant la modalité ré-ID de personnes. Après avoir étudié le système complet, les diverses modalités associées pourront être intégrées sur notre plateforme multi-caméras qui instrumente le bâtiment ADREAM du LAAS-CNRS. Cette plateforme, aujourd'hui opérationnelle, Ces travaux focalisent sur les modalités détection de personnes et ré-ID de personnes du système complet de vision ; celles-ci sont traitées indépendamment, 2018.

F. R. Barbosa-anda, F. Lerasle, C. Briand, and A. A. Mekonnen, « Soft-Cascade Learning with Explicit Computation Time Considerations, 2018 IEEE Winter Conference on Applications of Computer Vision (WACV). Mar, pp.1234-1243, 2018.

F. R. Barbosa-anda, C. Briand, and F. Lerasle, « Partitionnement en cliques à profit maximum de graphes orientés avec contraintes de flot, Congrès annuel de la société Française de Recherche Opérationnelle et d'Aide à la Décision (ROADEF), p.2, 2018.

L. Bazzani, M. Cristani, A. Perina, M. Farenzena, and V. Murino, « Multiple-Shot Person Reidentification by HPE Signature, 20th International Conference on Pattern Recognition. Août, pp.1413-1416, 2010.

L. Bazzani, M. Cristani, and V. Murino, « Symmetry-driven accumulation of local features for human characterization and re-identification, Computer Vision and Image Understanding, vol.117, pp.130-144, 2013.

S. S. Beauchemin and J. L. Barron, « The Computation of Optical Flow, ACM Comput. Surv. 27.3 (sept. 1995), pp.433-466

R. Benenson, M. Omran, ;. Michael, M. Bronstein, and C. Rother, Hosang et Bernt Schiele. « Ten Years of Pedestrian Detection, What Have We Learned ? » Dans : Computer Vision -ECCV 2014 Workshops. Sous la dir. de Lourdes Agapito, pp.613-627, 2015.

M. Bennewitz, F. Faber, D. Joho, M. Schreiber, and S. Behnke, « Towards a humanoid museum guide robot that interacts with multiple persons, 5th IEEE-RAS International Conference on Humanoid Robots, pp.418-423, 2005.

A. Bialkowski, S. Denman, S. Sridharan, C. Fookes, and P. Lucey, « A Database for Person Re-Identification in Multi-Camera Surveillance Networks, 2012 International Conference on Digital Image Computing Techniques and Applications (DICTA). Déc, pp.1-8, 2012.

H. Bouma, J. Baan, S. Landsmeer, and C. Kruszynski, Gert van Antwerpen et Judith Dijk. « Real-time tracking and fast retrieval of persons in multiple surveillance cameras of a shopping mall, Proc.SPIE. T. 8756, 2013.

L. Bourdev and J. Brandt, « Robust object detection via soft cascade, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05). T. 2. Juin, vol.2, pp.236-243, 2005.

O. Bozorg-haddad, M. Solgi, A. Hugo, and . Loáiciga, Meta-Heuristic and Evolutionary Algorithms for Engineering Optimization, p.107, 2017.

M. D. Breitenstein, F. Reichlin, B. Leibe, E. Koller-meier, and L. Van-gool, « Online Multiperson Tracking-by-Detection from a Single, Uncalibrated Camera, Pattern Analysis and Machine Intelligence, vol.33, pp.1820-1833, 2011.

A. Broggi, M. Bertozzi, A. Fascioli, and M. Sechi, « Shape-based pedestrian detection, Proceedings of the IEEE Intelligent Vehicles Symposium, pp.215-220, 2000.

A. Broggi, R. I. Fedriga, A. Tagliati, T. Graf, and M. Meinecke, « Pedestrian Detection on a Moving Vehicle : an Investigation about Near Infra-Red Images, pp.431-436, 2006.

Z. Cai, M. Saberian, and N. Vasconcelos, « Learning Complexity-Aware Cascades for Deep Pedestrian Detection, Conference on Computer Vision (ICCV). Déc, pp.3361-3369, 2015.

J. Cao, Y. Pang, and X. Li, « Pedestrian Detection Inspired by Appearance Constancy and Shape Symmetry, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Juin, pp.1316-1324, 2016.

Y. Cao, X. Pang, and . Li, « Pedestrian Detection Inspired by Appearance Constancy and Shape Symmetry, déc. 2016), vol.25, pp.5538-5551

A. Chakraborty, A. Das, and A. K. Roy-chowdhury,

, IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI'16) 38.9 (sept. 2016), pp.1859-1871

Y. Chen, W. Zheng, and J. Lai, Mirror Representation for Modeling View-Specific Transform in Person Re-Identification, p.74, 2015.

M. Dong-seon-cheng, M. Cristani, and . Stoppa, Loris Bazzani et Vittorio Murino. « Custom Pictorial Structures for Re-identification, Proceedings of the British Machine Vision Conference, vol.11, pp.68-69, 2011.

N. Dalal and B. Triggs, « Histograms of oriented gradients for human detection, Computer Vision and Pattern Recognition, vol.1, p.11, 2005.

, Navneet Dalal. « Finding People in Images and Videos ». Theses. Institut National Polytechnique de Grenoble -INPG, juil, p.11, 2006.

, Proceedings, Part II. Sous la dir. d'Ale? Leonardis, Horst Bischof et Axel Pinz, Bill Triggs et Cordelia Schmid. « Human Detection Using Oriented Histograms of Flow and Appearance, pp.428-441, 2006.

A. Das, A. Chakraborty, K. Amit, and . Roy-chowdhury, « Consistent Re-identification in a Camera Network, Europ. Conf. on Computer Vision (ECCV'14). Sous la dir. de David Fleet, Tomas Pajdla, Bernt Schiele et Tinne Tuytelaars, pp.330-345, 2014.

J. V. Davis, B. Kulis, and P. Jain, Proceedings of the 24th International Conference on Machine Learning. ICML '07. Corvalis, pp.209-216, 2007.

P. Dollár, B. Babenko, S. Belongie, P. Perona, and Z. Tu, « Multiple Component Learning for Object Detection, Computer Vision -ECCV 2008 : 10th European Conference on Computer Vision, pp.211-224, 2008.

P. Dollár, C. Wojek, B. Schiele, and P. Perona, « Pedestrian detection : A benchmark, 2009 IEEE Conference on Computer Vision and Pattern Recognition, pp.304-311, 2009.

P. Dollár, Z. Tu, P. Perona, and S. Belongie, Proceedings of the British Machine Vision Conference, vol.11, pp.91-92, 2009.

P. Dollár, C. Wojek, B. Schiele, and P. Perona, « Pedestrian Detection : An Evaluation of the State of the Art, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.34, pp.61-109

P. Dollár, R. Appel, S. Belongie, and P. Perona, « Fast Feature Pyramids for Object Detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.36, issue.8, pp.1532-1545, 2014.

P. Dollár, Piotr's Computer Vision Matlab Toolbox (PMT)

D. Tiziana and . Guaragnella, « A Survey of Automatic Event Detection in Multi-Camera Third Generation Surveillance Systems, International Journal of Pattern Recognition and Artificial Intelligence, vol.29, p.1555001, 2015.

M. Enzweiler and D. M. Gavrila, IEEE Transactions on Pattern Analysis and Machine Intelligence, pp.2179-2195

A. Ess, K. Schindler, B. Leibe, and L. Van-gool, « Object Detection and Tracking for Autonomous Navigation in Dynamic Environments, The International Journal of Robotics Research, vol.29, pp.1707-1725, 2010.

H. R. Everett, « Robotic security systems, IEEE Instrumentation Measurement Magazine, vol.6, pp.30-34, 2003.

M. Everingham, L. Van-gool, C. K. Williams, J. Winn, and A. Zisserman, « The Pascal Visual Object Classes (VOC) Challenge, International Journal of Computer Vision, vol.88, pp.303-338, 2010.

S. M. Mark-everingham, L. Ali-eslami, . Van-gool, K. I. Christopher, J. Williams et al., The Pascal Visual Object Classes Challenge : A Retrospective, vol.111, pp.98-136, 2015.

M. Farenzena, L. Bazzani, A. Perina, V. Murino, and M. Cristani, « Person re-identification by symmetry-driven accumulation of local features, Int. Conf. Computer Vision and Pattern Recognition (CVPR'10), pp.2360-2367, 2010.

P. F. Felzenszwalb, P. Daniel, and . Huttenlocher, « Pictorial Structures for Object Recognition, International Journal of Computer Vision, vol.61, issue.1, pp.55-79, 2005.

P. F. Felzenszwalb, R. B. Girshick, D. Mcallester, and D. Ramanan, « Object Detection with Discriminatively Trained Part-Based Models, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.32, pp.1627-1645

D. Figueira, M. Taiana, A. Nambiar, J. Nascimento, A. Bernardino et al., « The HDA+ Data Set for Research on Fully Automated Re-identification Systems, Europ. Conf. on Computer Vision (ECCV'15) -Workshops. Sous la dir. de Lourdes Agapito, pp.241-255, 2015.

M. A. Fischler and R. A. Elschlager, « The Representation and Matching of Pictorial Structures, IEEE Transactions on Computers C-22.1 (jan. 1973), pp.67-92

S. Foucher, M. Lalonde, and L. Gagnon,

, « A system for airport surveillance : detection of people running, abandoned objects, and pointing gestures, Proc.SPIE. T. 8056, 2011.

R. Michael, D. S. Garey, and . Johnson, Computers and Intractability : A Guide to the Theory of NP-Completeness, 1979.

D. M. Gavrila and V. Philomin, « Real-time object detection for ldquo, Proceedings of the Seventh IEEE International Conference on Computer Vision. T. 1, vol.1, p.15, 1999.

D. M. Gavrila, Proceedings, Part II. Sous la dir. de David Vernon, Computer Vision -ECCV 2000 : 6th European Conference on Computer Vision, pp.37-49, 2000.

D. Gerónimo, A. López, D. Ponsa, D. Angel, and . Sappa, Haar Wavelets and Edge Orientation Histograms for On-Board Pedestrian Detection, Pattern Recognition and Image Analysis : Third Iberian Conference, pp.418-425, 2007.

D. Gerónimo, A. M. López, and A. D. Sappa,

. Graf, Survey of Pedestrian Detection for Advanced Driver Assistance Systems, IEEE Transactions on Pattern Analysis and Machine Intelligence 32.7 (juil. 2010), pp.1239-1258

D. Gerónimo, A. D. Sappa, D. Ponsa, and A. M. López, « 2D-3D-based On-board Pedestrian Detection System, Comput. Vis, vol.114, pp.583-595, 2010.

N. Gheissari, T. B. Sebastian, and R. Hartley, « Person Reidentification Using Spatiotemporal Appearance, IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06, pp.1528-1535, 2006.

R. Girshick, J. Donahue, T. Darrell, and J. Malik, « Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation, 2014 IEEE Conference on Computer Vision and Pattern Recognition, pp.580-587, 2014.

V. Andrew, R. E. Goldberg, and . Tarjan, « Finding Minimum-Cost Circulations by Successive Approximation, Mathematics of Operations Research, vol.15, pp.430-466, 1990.

M. Gou, S. Karanam, W. Liu, O. Camps, and R. J. Radke, « DukeMTMC4ReID : A Large-Scale Multi-camera Person Re-identification Dataset, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops

. Juil, , pp.1425-1434, 2017.

J. Gramm and J. Guo, Falk Hüffner et Rolf Niedermeier. « Data Reduction and Exact Algorithms for Clique Cover, J. Exp. Algorithmics, vol.13

D. Gray and H. Tao, « Viewpoint Invariant Pedestrian Recognition with an Ensemble of Localized Features, Computer Vision -ECCV, pp.262-275, 2008.

J. Han and B. Bhanu, « Individual recognition using gait energy image, IEEE Transactions on Pattern Analysis and Machine Intelligence 28.2 (fév. 2006), pp.316-322

B. Han and X. Wang, « Detection for Power line Inspection, MATEC Web Conf, vol.100, p.22, 2017.

M. Hirzer, C. Beleznai, P. M. Roth, and H. Bischof, « Person Re-identification by Descriptive and Discriminative Classification, Proceedings of the 17th Scandinavian Conference on Image Analysis. SCIA'11, pp.91-102, 2011.

D. Hoiem, Y. Chodpathumwan, and Q. Dai, Sous la dir. d'Andrew Fitzgibbon, Svetlana Lazebnik, Pietro Perona, Yoichi Sato et Cordelia Schmid, Computer Vision -ECCV 2012 : 12th European Conference on Computer Vision, pp.340-353, 2012.

J. Hosang, M. Omran, R. Benenson, and B. Schiele, « Taking a deeper look at pedestrians, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Juin, pp.4073-4082, 2015.

T. Huang and S. Russell, Proceedings of the Fifteenth International Joint Conference on Artifical Intelligence, vol.2, pp.1276-1282, 1997.

, Sibt-ul Hussain et Bill Triggs. « Feature Sets and Dimensionality Reduction for Visual Object Detection, vol.10, pp.112-113, 2010.

C. Jayawardena, I. H. Kuo, U. Unger, A. Igic, R. Wong et al., Sohn et B. A. MacDonald. « Deployment of a service robot to help older people, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.5990-5995, 2010.

L. Jourdheuil, N. Allezard, T. Chateau, and . Thierry-chesnais, « HETEROGE-NEOUS ADABOOST WITH REAL-TIME CONSTRAINTS -Application to the Detection of Pedestrians by Stereovision, Proceedings of the International Conference on Computer Vision Theory and Applications, vol.1, pp.539-546, 2012.

S. Karanam, Y. Li, and R. J. Radke, « Person Re-Identification with Discriminatively Trained Viewpoint Invariant Dictionaries, Int. Conf. on Computer Vision (ICCV'15). Déc, pp.4516-4524, 2015.

S. Karanam, M. Gou, Z. Wu, A. Rates-borras, O. Camps et al., « A Systematic Evaluation and Benchmark for Person Re-Identification : Features, Metrics, and Datasets, IEEE Transactions on Pattern Analysis and Machine Intelligence, pp.1-1, 2018.

Y. Kawanishi, Y. Wu, M. Mukunoki, and M. Minoh, « Shinpuhkan2014 : A Multi-Camera Pedestrian Dataset for Tracking People across Multiple Cameras, p.20

. Korea-japan, Joint Workshop on Frontiers of Computer Vision, Fév, p.79, 2014.

A. Klaeser, M. Marszalek, and C. Schmid, « A Spatio-Temporal Descriptor Based on 3D-Gradients, Proceedings of the British Machine Vision Conference, vol.10, p.76, 2008.

M. Köstinger, M. Hirzer, P. Wohlhart, P. M. Roth, and H. Bischof, « Large scale metric learning from equivalence constraints, 2012 IEEE Conference on Computer Vision and Pattern Recognition. Juin, pp.2288-2295, 2012.

R. Layne, Tim Hospedales et Shaogang Gong. « Person Re-identification by Attributes, vol.11, p.72, 2012.

R. Layne, M. Timothy, M. Michael, C. Bronstein, and . Rother, Hospedales et Shaogang Gong. « Investigating Open-World Person Re-identification Using a Drone, Computer Vision -ECCV 2014 Workshops. Sous la dir. de Lourdes Agapito, pp.225-240, 2015.

L. Leal-taixé, A. Milan, I. Reid, S. Roth, K. Schindler et al., Towards a Benchmark for Multi-Target Tracking, 2015.

B. Leibe, Ale? Leonardis et Bernt Schiele. « Robust Object Detection with Interleaved Categorization and Segmentation, Journal of Computer Vision, vol.77, issue.1, pp.259-289, 2008.

K. Levi and Y. Weiss, Learning object detection from a small number of examples : the importance of good features, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004.

W. Li and X. Wang, « Locally Aligned Feature Transforms across Views, 2013 IEEE Conference on Computer Vision and Pattern Recognition. Juin, pp.3594-3601, 2013.

W. Li, R. Zhao, and X. Wang, Computer Vision -ACCV 2012. Sous la dir. de Kyoung Mu Lee, Yasuyuki Matsushita, James M. Rehg et Zhanyi Hu, pp.31-44, 2013.

Z. Li, S. Chang, F. Liang, T. S. Huang, L. Cao et al., « Learning Locally-Adaptive Decision Functions for Person Verification, 2013 IEEE Conference on Computer Vision and Pattern Recognition. Juin, pp.3610-3617, 2013.

W. Li, R. Zhao, T. Xiao, X. Wang, and . Deepreid, Deep Filter Pairing Neural Network for Person Reidentification, 2014 IEEE Conference on Computer Vision and Pattern Recognition, pp.152-159, 2014.

S. Liao, Y. Hu, X. Zhu, and S. Z. Li, « Person re-identification by Local Maximal Occurrence representation and metric learning, Int. Conf. Computer Vision and Pattern Recognition (CVPR'15, pp.2197-2206, 2015.

R. Lienhart and J. Maydt, « An extended set of Haar-like features for rapid object detection, Proceedings. International Conference on Image Processing, 2002.

J. Lin, L. Ren, J. Lu, F. Feng, and J. Zhou, « Consistent-Aware Deep Learning for Person Reidentification in a Camera Network, Int. Conf. Computer Vision and Pattern Recognition (CVPR'17, pp.3396-3405, 2017.

G. Lisanti, I. Masi, A. D. Bagdanov, and A. D. Bimbo, « Person Re-Identification by Iterative Re-Weighted Sparse Ranking, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.37, pp.1629-1642, 2015.

. Liu-2012a]-chunxiao, S. Liu, C. Gong, X. Loy, and . Lin, « Person Re-identification : What Features Are Important ? » Dans : Computer Vision -ECCV 2012. Workshops and Demonstrations. Sous la dir. d'Andrea Fusiello, Vittorio Murino et Rita Cucchiara, pp.391-401, 2012.

X. Liu, M. Song, Q. Zhao, D. Tao, C. Chen et al., « Attribute-restricted latent topic model for person re-identification, Pattern Recognition, vol.45, pp.4204-4213, 2012.

X. Liu, M. Song, D. Tao, X. Zhou, C. Chen et al., « Semi-supervised Coupled Dictionary Learning for Person Re-identification, 2014 IEEE Conference on Computer Vision and Pattern Recognition. Juin, pp.3550-3557, 2014.

W. Liu, D. Anguelov, D. Erhan, C. Szegedy, S. Reed et al., Single Shot MultiBox Detector, Computer Vision -ECCV 2016. Sous la dir. de Bastian Leibe, pp.21-37, 2016.

D. G. Lowe, « Object recognition from local scaleinvariant features, Proceedings of the Seventh IEEE International Conference on Computer Vision. T. 2. Sept, vol.2, p.72, 1999.

D. G. Lowe, Distinctive Image Features from Scale-Invariant Keypoints, vol.60, pp.91-110, 2004.

C. Loy, Tao Xiang et Shaogang Gong. « Time-Delayed Correlation Analysis for Multi-Camera Activity Understanding, pp.106-129

C. C. Loy, C. Liu, and S. Gong, « Person reidentification by manifold ranking, 2013 IEEE International Conference on Image Processing, pp.3567-3571, 2013.

B. Ma, Y. Su, and F. Jurie, « Local Descriptors Encoded by Fisher Vectors for Person Reidentification, Computer Vision -ECCV 2012. Workshops and Demonstrations. Sous la dir. d'Andrea Fusiello, Vittorio Murino et Rita Cucchiara, pp.413-422, 2012.

B. Ma, Y. Su, and F. Jurie, « Covariance descriptor based on bio-inspired features for person re-identification and face verification, Image and Vision Computing, vol.32, pp.379-390, 2014.

C. D. Manning, P. Raghavan, and H. Schütze, Introduction to Information Retrieval, 2008.

A. F. Martin, G. R. Doddington, T. Kamm, M. Ordowski, A. Mark et al., « The DET curve in assessment of detection task performance, Nikos Fakotakis et Evangelos Dermatas. ISCA, 1997.

N. Martinel and C. Micheloni, « Re-identify people in wide area camera network, Int. Conf. Computer Vision and Pattern Recognition (CV-PR'12) -Workshops. Juin, vol.73, pp.31-36, 2012.

T. Matsukawa, T. Okabe, E. Suzuki, and Y. Sato, « Hierarchical Gaussian Descriptor for Person Reidentification, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Juin, pp.1363-1372, 2016.

N. Mclaughlin, J. M. Rincon, and P. Miller, « Recurrent Convolutional Network for Video-Based Person Re-identification, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Juin, pp.1325-1334, 2016.

A. A. Mekonnen, F. Lerasle, A. Herbulot, and C. Briand, People Detection with Heterogeneous Features and Explicit Optimization on Computation Time, pp.4322-4327, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01059551

A. A. Mekonnen and F. Lerasle, « Comparative Evaluations of Selected Tracking-by-Detection Approaches, IEEE Transactions on Circuits and Systems for Video Technology, pp.1-1, 2018.

C. Micheloni, G. L. Foresti, and L. Snidaro,

, « A cooperative multicamera system for videosurveillance of parking lots

A. Mignon and F. Jurie, PCCA : A new approach for distance learning from sparse pairwise constraints, 2012 IEEE Conference on Computer Vision and Pattern Recognition, pp.2666-2672, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00806007

K. Mikolajczyk, C. Schmid, and A. Zisserman, Computer Vision -ECCV 2004 : 8th European Conference on Computer Vision, pp.69-82, 2004.

A. Møgelmose, A. Prioletti, M. M. Trivedi, A. Broggi, and T. B. Moeslund, « Two-stage part-based pedestrian detection, 15th International IEEE Conference on Intelligent Transportation Systems, pp.73-77, 2012.

A. Mohan, C. Papageorgiou, and T. Poggio, « Example-based object detection in images by components, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.23, pp.349-361

Y. Mu, S. Yan, Y. Liu, T. Huang, and B. Zhou, « Discriminative local binary patterns for human detection in personal album, 2008 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2008.

W. Nam and P. Han, « Local Decorrelation for Improved Pedestrian Detection, Proceedings of the 27th International Conference on Neural Information Processing Systems. NIPS'14, pp.424-432, 2014.

A. Nambiar, M. Taiana, D. Figueira, J. C. Nascimento, and A. Bernardino, , 2014.

. «-a-multi, Journal of Machine Intelligence and Sensory Signal Processing 3 (déc. 2014), Int, pp.267-286

W. Duc-thanh-nguyen, P. O. Li, and . Ogunbona, « Human detection from images and videos : A survey, Pattern Recognition 51.Supplement C (2016), pp.148-175

T. Ojala, M. Pietikäinen, and D. Harwood, , 1996.

, « A comparative study of texture measures with classification based on featured distributions, Pattern Recognition, vol.29, pp.51-59, 1996.

S. Paisitkriangkrai, C. Shen, and J. Zhang, « Fast Pedestrian Detection Using a Cascade of Boosted Covariance Features, IEEE Transactions on Circuits and Systems for Video Technology, vol.18, pp.1140-1151, 2008.

K. Pale?ek, D. Gerónimo, and F. Lerasle, « Pre-attention Cues for Person Detection, Cognitive Behavioural Systems : COST 2102 International Training School, pp.225-235, 2011.

M. Pallikonda-rajasekaran, S. Radhakrishnan, and P. Subbaraj, « Sensor grid applications in patient monitoring, Future Generation Computer Systems, vol.26, pp.569-575, 2010.

H. Pan, Yaping Zhu et Liangzheng Xia. « Efficient and accurate face detection using heterogeneous feature descriptors and feature selection, Computer Vision and Image Understanding, vol.117, pp.12-28, 2013.

C. Papageorgiou and T. Poggio, A Trainable System for Object Detection, International Journal of Computer Vision, vol.38, issue.1, pp.15-33, 2000.

D. Park, D. Ramanan, and C. Fowlkes, « Multiresolution Models for Object Detection, Proceedings, Part IV. Sous la dir. de Kostas Daniilidis, Petros Maragos et Nikos Paragios, pp.241-254, 2010.

S. Pedagadi, J. Orwell, and S. Velastin, Boghossian. « Local Fisher Discriminant Analysis for Pedestrian Re-identification, Int. Conf. on Computer Vision and Pattern Recognition (CV-PR'13). Juin, pp.3318-3325, 2013.

M. Piccardi, IEEE International Conference on Systems, Man and Cybernetics, vol.4, p.14, 2004.

A. Pozzobon, G. Sciutto, and . Valerio-recagno, Advanced Video-Based Surveillance Systems. Sous la dir. de Carlo S. Regazzoni, Gianni Fabri et Gianni Vernazza, pp.18-26, 1999.

T. D. Räty, « Survey on Contemporary Remote Surveillance Systems for Public Safety, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) 40.5 (sept. 2010), pp.493-515

K. Shaoqing-ren, R. He, J. Girshick, . Sun, and . Faster-r-cnn, Towards Real-Time Object Detection with Region Proposal Networks, Advances in Neural Information Processing Systems 28. Sous la dir, pp.91-99, 2015.

S. Ren, K. He, R. Girshick, and J. Sun, « Faster R-CNN : Towards Real-Time Object Detection with Region Proposal Networks, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.39, pp.1137-1149, 2017.

N. Robertson and P. D. Seymour, « Graph Minors .XIII. The Disjoint Paths Problem, Combinatorial Theory, Series B, vol.63, pp.65-110, 1995.

N. Ronetti and C. Dambra, Multimedia Video-Based Surveillance Systems : Requirements, Issues and Solutions. Sous la dir. de Gian Luca Foresti, Petri Mähönen et Carlo S. Regazzoni, pp.13-20, 2000.

O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh et al., International Journal of Computer Vision (IJCV) (avr. 2015), pp.1-42

A. Satpathy, X. Jiang, and H. L. Eng, « Human detection using Discriminative and Robust Local Binary Pattern, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing. Mai, pp.2376-2380, 2013.

R. E. Schapire, Nonlinear Estimation and Classification. Sous la dir. de David D, The Boosting Approach to Machine Learning : An Overview, pp.149-171, 2003.

W. R. Schwartz and L. S. Davis, « Learning Discriminative Appearance-Based Models Using Partial Least Squares, 2009 XXII Brazilian Symposium on Computer Graphics and Image Processing, pp.322-329, 2009.

W. R. Schwartz, A. Kembhavi, D. Harwood, and L. S. Davis, « Human detection using partial least squares analysis, 2009 IEEE 12th International Conference on Computer Vision, pp.24-31, 2009.

Z. Shi, T. M. Hospedales, and T. Xiang, « Transferring a semantic representation for person reidentification and search, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Juin, pp.4184-4193, 2015.

J. Sochman and J. Matas, « Waldboost -learning for time constrained sequential detection, Int Conf. on Computer Vision and Pattern Recognition (CVPR'05), 2005.

K. A. Spackman, Signal Detection Theory : Valuable Tools for Evaluating Inductive Learning, pp.160-163, 1989.

C. Stauffer and W. E. Grimson, « Adaptive background mixture models for real-time tracking, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149). T. 2, vol.252, p.14, 1999.

C. Su, F. Yang, S. Zhang, Q. Tian, L. S. Davis et al., « Multi-Task Learning with Low Rank Attribute Embedding for Person Re-Identification, IEEE International Conference on Computer Vision (ICCV). Déc, pp.3739-3747, 2015.

M. Szarvas, A. Yoshizawa, M. Yamamoto, and J. Ogata, « Pedestrian detection with convolutional neural networks, IEEE Proceedings. Intelligent Vehicles Symposium, pp.224-229, 2005.

D. Tang, Y. Liu, and K. Tae-kyun, « Fast Pedestrian Detection by Cascaded Random Forest with Dominant Orientation Templates, Proceedings of the British Machine Vision Conference, vol.11, pp.58-59, 2012.

M. Teutsch and W. Krüger, Robust and fast detection of moving vehicles in aerial videos using sliding windows, 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp.26-34, 2015.

Y. Tian, P. Luo, X. Wang, and X. Tang, « Pedestrian detection aided by deep learning semantic tasks, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Juin, pp.5079-5087, 2015.

D. Tomè, F. Monti, L. Baroffio, L. Bondi, M. Tagliasacchi et al., « Deep Convolutional Neural Networks for pedestrian detection, Signal Processing, vol.47, pp.482-489, 2016.

O. Tuzel, F. Porikli, and P. Meer, « Pedestrian Detection via Classification on Riemannian Manifolds, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.30, pp.1713-1727, 2008.

R. Varga and . Sergiu-nedevschi, Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, vol.4, pp.470-477, 2016.

P. Viola, J. Michael, and . Jones, « Robust Real-Time Face Detection, International Journal of Computer Vision, vol.57, pp.137-154, 2004.

P. Viola, J. Michael, D. Jones, and . Snow, « Detecting Pedestrians Using Patterns of Motion and Appearance, International Journal of Computer Vision, vol.63, issue.2, pp.153-161

, Sequential Tests of Statistical Hypotheses, vol.16, pp.117-186

S. Walk, N. Majer, K. Schindler, and B. Schiele, « New features and insights for pedestrian detection, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.1030-1037, 2010.

X. Wang, T. X. Han, and S. Yan, « An HOG-LBP human detector with partial occlusion handling, IEEE 12th International Conference on Computer Vision, pp.32-39, 2009.

S. Wang, M. Lewandowski, J. Annesley, and J. , Orwell. « Re-identification of pedestrians with variable occlusion and scale, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops), pp.1876-1882, 2011.

T. Wang, S. Gong, X. Zhu, and S. Wang, « Person Re-identification by Video Ranking, Computer Vision -ECCV 2014. Sous la dir. de David Fleet, Tomas Pajdla, Bernt Schiele et Tinne Tuytelaars, pp.688-703, 2014.

T. Wang, S. Gong, X. Zhu, and S. Wang, « Person Re-Identification by Discriminative Selection in Video Ranking, IEEE Transactions on Pattern Analysis and Machine Intelligence 38.12 (déc. 2016), pp.2501-2514

L. Wei, S. Zhang, W. Gao, and . Qi-tian, « Person Transfer GAN to Bridge Domain Gap for Person Re-Identification, The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Juin, p.79, 2018.

Q. Kilian, J. Weinberger, . Blitzer, and K. Lawrence,

B. Saul-;-d'y.-weiss, J. C. Schölkopf, and . Platt, Distance Metric Learning for Large Margin Nearest Neighbor Classification, pp.1473-1480, 2006.

Q. Kilian, L. K. Weinberger, and . Saul, « Distance Metric Learning for Large Margin Nearest Neighbor Classification, J. Mach. Learn. Res, vol.10, pp.207-244, 2009.

C. Wojek and . Bernt-schiele, « A Performance Evaluation of Single and Multi-feature People Detection, Pattern Recognition : 30th DAGM Symposium, 2008.

, Proceedings. Sous la dir. de Gerhard Rigoll. Berlin, pp.82-91, 2008.

B. Wu and R. Nevatia, « Optimizing discriminationefficiency tradeoff in integrating heterogeneous local features for object detection, 2008 IEEE Conference on Computer Vision and Pattern Recognition. Juin, pp.1-8, 2008.

L. Wu, Chunhua Shen et Anton van den Hengel. « Deep Recurrent Convolutional Networks for Video-based Person Re-identification : An Endto-End Approach, p.76, 2016.

L. Wu, A. Van-den, and . Hengel, Deep Linear Discriminant Analysis on Fisher Networks, pp.238-250

R. Xiao, L. Zhu, and H. Zhang, « Boosting chain learning for object detection, Int. Conf. on Computer Vision (ICCV'03), 2003.

T. Xiao, H. Li, W. Ouyang, and X. Wang, « Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identification, Int. Conf. Computer Vision and Pattern Recognition (CVPR'16, pp.1249-1258, 2016.

F. Xiong and M. Gou, Octavia Camps et Mario Sznaier. « Person Re-Identification Using Kernel-Based Metric Learning Methods, Computer Vision -ECCV 2014. Sous la dir. de David Fleet, Tomas Pajdla, Bernt Schiele et Tinne Tuytelaars, pp.1-16, 2014.

Y. Xu, B. Ma, R. Huang, and L. Lin, « Person Search in a Scene by Jointly Modeling People Commonness and Person Uniqueness, Proceedings of the 22Nd ACM International Conference on Multimedia. MM '14, pp.937-940, 2014.

S. Yan, D. Xu, B. Zhang, H. J. Zhang, Q. Yang et al., « Graph Embedding and Extensions : A General Framework for Dimensionality Reduction, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.29, pp.40-51, 2007.

Y. Yan, B. Ni, Z. Song, C. Ma, Y. Yan et al., « Person Reidentification via Recurrent Feature Aggregation, Computer Vision -ECCV 2016. Sous la dir. de Bastian Leibe, pp.701-716, 2016.

Y. Yang, J. Yang, J. Yan, S. Liao, D. Yi et al., « Salient Color Names for Person Re-identification, Computer Vision -ECCV 2014. Sous la dir. de David Fleet, Tomas Pajdla, Bernt Schiele et Tinne Tuytelaars, pp.536-551, 2014.

B. Yang, J. Yan, Z. Lei, and S. Z. Li, IEEE International Conference on Computer Vision (ICCV). Déc, pp.82-90, 2015.

D. Yi, Z. Lei, S. Liao, and S. Z. Li, « Deep Metric Learning for Person Re-identification, 2014 22nd International Conference on Pattern Recognition. Août, pp.34-39, 2014.

J. You, A. Wu, X. Li, and W. S. Zheng, « Top-Push Video-Based Person Re-identification, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Juin, pp.1345-1353, 2016.

W. Zajdel, Z. Zivkovic, and B. J. Krose, « Keeping Track of Humans : Have I Seen This Person Before ?, Dans : Proceedings of the 2005 IEEE International Conference on Robotics and Automation. Avr, pp.2081-2086, 2005.

S. Zambanini, P. Blauensteiner, and M. Kampel, « Automated multi-camera surveillance for the prevention and investigation of bank robberies in Austria : A case study, 3rd International Conference on Imaging for Crime Detection and Prevention, pp.1-6, 2009.

C. Zhang and P. Viola, Proceedings of the 20th International Conference on Neural Information Processing Systems. NIPS'07, pp.1681-1688, 2007.

M. Zhang and R. Alhajj, « Content-Based Image Retrieval : From the Object Detection/Recognition Point of View, Z. Ma. PA : Information Science Reference. Hershey, pp.115-144, 2009.

X. Zhang, Y. Yang, Z. Han, H. Wang, and C. Gao, « Object Class Detection : A Survey, vol.46, pp.1-10, 2013.

S. Zhang, R. Benenson, and B. Schiele, « Filtered channel features for pedestrian detection, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Juin, pp.1751-1760, 2015.

L. Zhang and L. Lin, Xiaodan Liang et Kaiming He. « Is Faster R-CNN Doing Well for Pedestrian Detection ?, Dans : Computer Vision -ECCV 2016 : 14th European Conference, 2016.

N. Matas, M. Sebe, . Welling, and . Cham, , pp.443-457, 2016.

S. Zhang, R. Benenson, M. Omran, J. Hosang, and B. Schiele, « How Far are We from Solving Pedestrian Detection ?, Dans : 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Juin, pp.1259-1267, 2016.

C. Liang-zhao and . Thorpe, « Stereo-and neural network-based pedestrian detection, Proceedings 199 IEEE/IEEJ/JSAI International Conference on Intelligent Transportation Systems (Cat. No.99TH8383), pp.298-303, 1999.

L. Zhao and C. E. Thorpe, « Stereo-and neural network-based pedestrian detection, IEEE Transactions on Intelligent Transportation Systems, vol.1, issue.3, pp.148-154

R. Zhao, W. Ouyang, and X. Wang, « Person Reidentification by Salience Matching, Int. Conf. on Computer Vision (ICCV'13). Déc. 2013, pp.2528-2535

R. Zhao, W. Ouyang, and X. Wang, « Unsupervised Salience Learning for Person Re-identification, Int. Conf. Computer Vision and Pattern Recognition (CVPR'13). Juin, pp.3586-3593, 2013.

R. Zhao, W. Ouyang, and X. Wang, « Learning Midlevel Filters for Person Re-identification, 2014 IEEE Conference on Computer Vision and Pattern Recognition, pp.144-151, 2014.

W. Zheng, Shaogang Gong et Tao Xiang. « Associating Groups of People, vol.11, p.79, 2009.

W. S. Zheng, S. Gong, and T. Xiang, « Transfer reidentification : From person to set-based verification, 2012 IEEE Conference on Computer Vision and Pattern Recognition, pp.2650-2657, 2012.

L. Zheng, L. Shen, L. Tian, S. Wang, J. Wang et al., « Scalable Person Re-identification : A Benchmark, Int. Conf. on Computer Vision (ICCV'15). Déc, pp.1116-1124, 2015.

L. Zheng, Z. Bie, Y. Sun, J. Wang, C. Su et al., « MARS : A Video Benchmark for Large-Scale Person Re-Identification, Computer Vision -ECCV 2016. Sous la dir. de Bastian Leibe, pp.868-884, 2016.

L. Zheng, Y. Yang, and G. Alexander, Hauptmann. « Person Re-identification : Past, Present and Future, 2016.

Q. Zhu, M. Yeh, K. Cheng, and S. Avidan, « Fast Human Detection Using a Cascade of Histograms of Oriented Gradients, IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06), 2006.

X. Zhu, X. Jing, F. Wu, and H. Feng, « Video-based Person Re-identification by Simultaneously Learning Intra-video and Inter-video Distance Metrics, Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. IJCAI'16, pp.3552-3558, 2016.

N. Zouba, F. Bremond, and M. Thonnat, « Multisensor Fusion for Monitoring Elderly Activities at Home, Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance, pp.98-103, 2009.