K. Bernardin and R. Stiefelhagen, Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics, EURASIP Journal on Image and Video Process- ing, 2008.
DOI : 10.1137/0105003

M. A. Chao, C. Y. Chu, C. H. Chao, and A. Y. Wu, Efficient parallelized particle filter design on cuda, 2010 IEEE Workshop On Signal Processing Systems, pp.299-304, 2010.

M. Chitchian, A. S. Van-amesfoort, A. Simonetto, T. Keviczky, and H. J. Sips, Adapting Particle Filter Algorithms to Many-Core Architectures, 2013 IEEE 27th International Symposium on Parallel and Distributed Processing, pp.427-438, 2013.
DOI : 10.1109/IPDPS.2013.88

N. Dalal and B. Triggs, Histograms of Oriented Gradients for Human Detection, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), pp.886-893, 2005.
DOI : 10.1109/CVPR.2005.177

URL : https://hal.archives-ouvertes.fr/inria-00548512

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

A. Doucet, S. Godsill, and C. Andrieu, On sequential monte carlo sampling methods for bayesian filtering, Statistics and Computing, vol.10, issue.3, pp.197-208, 2000.
DOI : 10.1023/A:1008935410038

P. F. Felzenszwalb, R. B. Girshick, D. Mcallester, and D. And-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

G. Gomez, D. Lerasle, F. , L. Peña, and A. M. , State-Driven Particle Filter for Multi-person Tracking, pp.467-478, 2012.

G. Hendeby, R. Karlsson, and F. Gustafsson, Particle Filtering: The Need for Speed, EURASIP Journal on Advances in Signal Processing, vol.5, issue.1, pp.1-22, 2010.
DOI : 10.1109/TSP.2005.849185

M. Hirabayashi, S. Kato, M. Edahiro, K. Takeda, T. Kawano et al., GPU implementations of object detection using HOG features and deformable models, 2013 IEEE 1st International Conference on Cyber-Physical Systems, Networks, and Applications (CPSNA), pp.106-111, 2013.
DOI : 10.1109/CPSNA.2013.6614255

M. Isard and A. Blake, Condensation -conditional density propagation for visual tracking, International Journal of Computer Vision, vol.29, issue.1, pp.5-28, 1998.
DOI : 10.1023/A:1008078328650

L. M. Itu, C. Suciu, F. Moldoveanu, and A. Postelnicu, Comparison of single and double floating point precision performance for tesla architecture gpus. Bulletin of the Transilvania University of Brov Series I: Engineering Sciences, pp.70-86, 2011.

Z. Khan, T. Balch, and F. 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.1805-1819, 2005.
DOI : 10.1109/TPAMI.2005.223

T. Li, M. Bolic, and P. M. Djuric, Resampling Methods for Particle Filtering: Classification, implementation, and strategies, IEEE Signal Processing Magazine, vol.32, issue.3, pp.70-86, 2015.
DOI : 10.1109/MSP.2014.2330626

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 life spans. Pattern Analysis and Machine Intelligence, IEEE Transactions on, issue.10, pp.301728-1740, 2008.

H. Medeiros, J. Park, and A. Kak, A parallel color-based particle filter for object tracking, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pp.1-8, 2008.
DOI : 10.1109/CVPRW.2008.4563148

P. Perez, J. Vermaak, and A. Blake, Data Fusion for Visual Tracking With Particles, Proceedings of the IEEE, pp.495-513, 2004.
DOI : 10.1109/JPROC.2003.823147

R. J. Rost, OpenGL Shading Language, 2006.

O. Rosn, A. Medvedev, and M. Ekman, Speedup and tracking accuracy evaluation of parallel particle filter algorithms implemented on a multicore architecture, 2010 IEEE International Conference on Control Applications, pp.440-445, 2010.
DOI : 10.1109/CCA.2010.5611217

B. Rymut and B. Kwolek, GPU-Accelerated Object Tracking Using Particle Filtering and Appearance-Adaptive Models, pp.337-344, 2010.
DOI : 10.1007/978-3-642-16295-4_39

P. Sudowe and B. Leibe, Efficient Use of Geometric Constraints for Sliding-Window Object Detection in Video, International Conference on Computer Vision Systems (ICVS'11), 2011.
DOI : 10.1007/11736790_8

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, pp.379-385, 2012.
DOI : 10.1109/AVSS.2012.51

URL : https://iris.unipa.it/retrieve/handle/10447/97699/125089/AVSS.pdf