A. Alahi, L. Jacques, Y. Boursier, and P. Vandergheynst, Sparsity-driven people localization algorithm: Evaluation in crowded scenes environments, 2009 Twelfth IEEE International Workshop on Performance Evaluation of Tracking and Surveillance, 2009.
DOI : 10.1109/PETS-WINTER.2009.5399487

M. Andriluka, S. Roth, and B. Schiele, Monocular 3D pose estimation and tracking by detection, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010.
DOI : 10.1109/CVPR.2010.5540156

A. Andriyenko and K. Schindler, Multi-target tracking by continuous energy minimization, CVPR 2011, 2011.
DOI : 10.1109/CVPR.2011.5995311

D. Arsic, A. Lyutskanov, G. Rigoll, and B. Kwolek, Multi camera person tracking applying a graph-cuts based foreground segmentation in a homography framework, 2009 Twelfth IEEE International Workshop on Performance Evaluation of Tracking and Surveillance, 2009.
DOI : 10.1109/PETS-WINTER.2009.5399723

H. Bay, A. Ess, T. Tuytelaars, and L. Gool, Speeded-Up Robust Features (SURF), Computer Vision and Image Understanding, vol.110, issue.3, pp.346-359, 2008.
DOI : 10.1016/j.cviu.2007.09.014
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.205.738

J. Berclaz, F. Fleuret, and P. Fua, Multiple object tracking using flow linear programming, 2009 Twelfth IEEE International Workshop on Performance Evaluation of Tracking and Surveillance, 2009.
DOI : 10.1109/PETS-WINTER.2009.5399488
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.157.4254

J. Berclaz, F. Fleuret, E. Turetken, and P. Fua, Multiple object tracking using k-shortest paths optimization. TPAMI, pp.1806-1819, 2011.

M. D. Breitenstein, F. Reichlin, B. Leibe, E. Koller-meier, and L. V. Gool, Markovian tracking-by-detection from a single, uncalibrated camera, The International Workshop on Performance Evaluation of Tracking and Surveillance (PETS), in conjunction with CVPR, 2009.

A. Caporossi, D. Hall, P. Reignier, and J. L. Crowley, Robust Visual Tracking from Dynamic Control of Processing, The Workshop on Performance Evaluation for tracking and Surveillance (PETS), in the conjunction with ECCV, 2004.

D. P. Chau, F. Bremond, and M. Thonnat, A multi-feature tracking algorithm enabling adaptation to context variations, 4th International Conference on Imaging for Crime Detection and Prevention 2011 (ICDP 2011), 2011.
DOI : 10.1049/ic.2011.0127
URL : https://hal.archives-ouvertes.fr/inria-00632245

D. P. Chau, F. Bremond, M. Thonnat, and E. Corvee, Robust mobile object tracking based on multiple feature similarity and trajectory filtering, The International Conference on Computer Vision Theory and Applications (VISAPP), 2011.
URL : https://hal.archives-ouvertes.fr/inria-00599734

D. Conte, P. Foggia, G. Percannella, and M. Vento, Performance Evaluation of a People Tracking System on PETS2009 Database, 2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2010.
DOI : 10.1109/AVSS.2010.87

E. Corvee and F. Bremond, Body Parts Detection for People Tracking Using Trees of Histogram of Oriented Gradient Descriptors, 2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2010.
DOI : 10.1109/AVSS.2010.51
URL : https://hal.archives-ouvertes.fr/inria-00496980

Y. Freund and R. E. Schapire, A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting, The Journal of Computer and System Sciences, pp.522-536, 1997.
DOI : 10.1006/jcss.1997.1504

W. Ge and R. T. Collins, Evaluation of sampling-based pedestrian detection for crowd counting, 2009 Twelfth IEEE International Workshop on Performance Evaluation of Tracking and Surveillance, 2009.
DOI : 10.1109/PETS-WINTER.2009.5399553

B. Georis, F. Bremond, and M. Thonnat, Real-time control of video surveillance systems with program supervision techniques, The Journal of Machine Vision and Applications, pp.189-205, 2007.
DOI : 10.1007/s00138-006-0053-z
URL : https://hal.archives-ouvertes.fr/inria-00502779

D. E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning, 1989.

D. Hall, Automatic parameter regulation of perceptual systems, The Journal of Image and Vision Computing, pp.870-881, 2006.
DOI : 10.1016/j.imavis.2006.02.011

J. F. Henriques, R. Caseiro, and J. Batista, Globally optimal solution to multi-object tracking with merged measurements, 2011 International Conference on Computer Vision, 2011.
DOI : 10.1109/ICCV.2011.6126532

L. J. Heyer, S. Kruglyak, and S. Yooseph, Exploring Expression Data: Identification and Analysis of Coexpressed Genes, The Journal of Genome Research, pp.1106-1115, 1999.
DOI : 10.1101/gr.9.11.1106

C. Huang, B. Wu, and R. Nevatia, Robust Object Tracking by Hierarchical Association of Detection Responses, The European Conference on Computer Vision (ECCV), 2008.
DOI : 10.1007/978-3-540-88688-4_58

R. Kasturi, D. Goldgof, P. Soundararajan, V. Manohar, J. Garofolo et al., Framework for Performance Evaluation of Face, Text, and Vehicle Detection and Tracking in Video: Data, Metrics, and Protocol, The IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), pp.319-336, 2009.
DOI : 10.1109/TPAMI.2008.57

K. Kim, T. Chalidabhongse, D. Harwood, and L. Davis, Background modeling and subtraction by codebook construction, The International Conference on Image Processing (ICIP), 2004.

C. Kuo and R. Nevatia, How does person identity recognition help multi-person tracking?, CVPR 2011, 2011.
DOI : 10.1109/CVPR.2011.5995384
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.309.7889

C. H. Kuo, C. Huang, and R. Nevatia, Multi-target tracking by online learned discriminative appearance models, The International Conference on Computer Vision and Pattern Recognition (CVPR), 2010.

Y. Li, C. Huang, and R. Nevatia, Learning to associate: Hybridboosted multi-target tracker for crowded scene, The International Conference on Computer Vision and Pattern Recognition (CVPR), 2009.

J. Nievergelt, Exhaustive Search, Combinatorial Optimization and Enumeration: Exploring the Potential of Raw Computing Power, The Conference on Current Trends in Theory and Practice of Informatics, 2000.
DOI : 10.1007/3-540-44411-4_2

J. Santner, C. Leistner, A. Saffari, T. Pock, and H. Bischof, PROST: Parallel robust online simple tracking, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010.
DOI : 10.1109/CVPR.2010.5540145

J. Sherrah, Learning to Adapt: A Method for Automatic Tuning of Algorithm Parameters, The International Conference on Advanced Concepts for Intelligent Vision Systems (ACIVS), pp.414-425, 2010.
DOI : 10.1007/978-3-642-17688-3_39

J. Shi and C. Tomasi, Good features to track, The International Conference on Computer Vision and Pattern Recognition (CVPR), 1994.

H. B. Shitrit, J. Berclaz, F. Fleuret, and P. Fua, Tracking multiple people under global appearance constraints, 2011 International Conference on Computer Vision, 2011.
DOI : 10.1109/ICCV.2011.6126235

M. Souded, L. Giulieri, and F. Bremond, An object tracking in particle filtering and data association framework, using SIFT features, 4th International Conference on Imaging for Crime Detection and Prevention 2011 (ICDP 2011), 2011.
DOI : 10.1049/ic.2011.0104
URL : https://hal.archives-ouvertes.fr/hal-00647256

M. Thonnat, S. Moisan, and M. Crubezy, Experience in Integrating Image Processing Programs, ICVS, Lecture Notes in Computer Science, 1999.
DOI : 10.1007/3-540-49256-9_13

B. Wu and R. Nevatia, Detection and Tracking of Multiple, Partially Occluded Humans by Bayesian Combination of Edgelet based Part Detectors, The International Journal of Computer Vision, pp.247-266, 2007.
DOI : 10.1007/s11263-006-0027-7

J. Xing, H. Ai, and S. Lao, Multi-object tracking through occlusions by local tracklets filtering and global tracklets association with detection responses, The International Conference on Computer Vision and Pattern Recognition (CVPR), 2009.

A. Yilmaz, O. Javed, and M. Shah, Object tracking, The ACM Computing Surveys (CSUR), 2006.
DOI : 10.1145/1177352.1177355