M. Breitenstein, F. Reichlin, B. Leibe, E. Koller-meier, and L. Van-gool, Online Multiperson Tracking-by-Detection from a Single, Uncalibrated Camera, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.33, issue.9, pp.1820-1833, 2011.
DOI : 10.1109/TPAMI.2010.232

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.
DOI : 10.1109/TPAMI.2014.2300479

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, issue.4, pp.743-761, 2012.
DOI : 10.1109/TPAMI.2011.155

Z. Khan, T. Balch, and T. Dellaert, MCMC-based particle filtering for tracking a variable number of interacting targets, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.27, issue.11, pp.1805-1918, 2005.
DOI : 10.1109/TPAMI.2005.223

Y. Li, H. Ai, T. Yamashita, S. Lao, and M. Kawade, Tracking in Low Frame Rate Video: A Cascade Particle Filter with Discriminative Observers of Different Lifespans, 2007 IEEE Conference on Computer Vision and Pattern Recognition, pp.1728-1740, 2008.
DOI : 10.1109/CVPR.2007.383199

A. W. Smeulders, D. M. Chu, R. Cucchiara, S. Calderara, A. Dehghan et al., Visual tracking : an experimental survey, IEEE Trans. Pattern Anal. Mach. Intell, vol.36, issue.7, pp.1442-1468, 2014.

J. Zhang, L. L. Presti, and S. Sclaroff, Online Multi-person Tracking by Tracker Hierarchy, 2012 IEEE Ninth International Conference on Advanced Video and Signal-Based Surveillance, 2012.
DOI : 10.1109/AVSS.2012.51
URL : https://iris.unipa.it/retrieve/handle/10447/97699/125089/AVSS.pdf

N. Dalal and B. , Triggs, Histograms of oriented gradients for human detection, IEEE Conference on Computer Vision and Pattern Recognition (CVPR'05), 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, issue.9, pp.1627-1645, 2010.
DOI : 10.1109/TPAMI.2009.167

W. Nam, P. Dollár, and J. H. Han, Local decorrelation for improved pedestrian detection, Advances in Neural Information Processing Systems (NIPS'14), pp.424-432, 2014.

M. Andriluka, S. Roth, and B. Schiele, People-tracking-bydetection and people-detection-by-tracking, in : Computer Vision and Pattern Recognition, IEEE Conference on, pp.1-8, 2008.

B. Wang, G. Wang, K. L. Chan, and L. Wang, Tracklet Association with Online Target-Specific Metric Learning, 2014 IEEE Conference on Computer Vision and Pattern Recognition, pp.1234-1241, 2014.
DOI : 10.1109/CVPR.2014.161

W. Abd-almageed, M. Hussein, and M. Abdelkader, Realtime human detection and tracking from mobile vehicles, IEEE Intelligent Transportation Systems Conference (ITSC'07), pp.149-154, 2007.

L. Leal-taixé, A. Milan, I. Reid, S. Roth, and K. Schindler, MOTChallenge 2015 : Towards a benchmark for multitarget tracking

E. Moussy, A. A. Mekonnen, G. Marion, and F. Lerasle, A comparative view on exemplar "tracking-by-detection " approaches, IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS'15, pp.2015-2016
URL : https://hal.archives-ouvertes.fr/hal-01202882

M. Isard and A. Blake, Icondensation: Unifying low-level and high-level tracking in a stochastic framework, Computer Vision ? ECCV'98, pp.893-908, 1998.
DOI : 10.1007/BFb0055711

K. Bernardin and R. Stiefelhagen, Evaluating multiple object tracking performance : the CLEAR MOT metrics, EUR- ASIP Journal on Image and Video Processing, pp.1-1, 2008.