R. Mazzon, S. F. Tahir, and A. Cavallaro, Person re-identification in crowd, Pattern Recognition Letters, vol.33, issue.14, pp.1828-1837, 2012.
DOI : 10.1016/j.patrec.2012.02.014

A. Mogelmose, C. Bahnsen, T. Moeslund, A. Clapes, and S. Escalera, Tri-modal Person Re-identification with RGB, Depth and Thermal Features, 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp.301-307, 2013.
DOI : 10.1109/CVPRW.2013.52

T. Germa, F. Lerasle, N. Ouadah, and V. Cadenat, Vision and RFID data fusion for tracking people in crowds by a mobile robot, special Issue on Multi-Camera and Multi- Modal Sensor Fusion, pp.641-651, 2010.
DOI : 10.1016/j.cviu.2010.01.008

A. Tawari and M. Trivedi, Speech based emotion classification framework for driver assistance system, 2010 IEEE Intelligent Vehicles Symposium, pp.174-178, 2010.
DOI : 10.1109/IVS.2010.5547956

C. Busso, S. Hernanz, C. Chu, S. Il-kwon, S. Lee et al., Smart Room: Participant and Speaker Localization and Identification, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005., p.1117, 1120.
DOI : 10.1109/ICASSP.2005.1415605

URL : http://iris.usc.edu/~icohen/./pdf/icassp05.pdf

D. A. Reynolds, Speaker identification and verification using Gaussian mixture speaker models, Speech Communication, vol.17, issue.1-2, pp.91-108, 1995.
DOI : 10.1016/0167-6393(95)00009-D

J. Bonastre, F. Wils, and S. Meignier, ALIZE, a free toolkit for speaker recognition, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005., pp.737-740, 2005.
DOI : 10.1109/ICASSP.2005.1415219

URL : https://hal.archives-ouvertes.fr/hal-01434280

L. F. Lamel, J. Luc-gauvain, M. Eskenazi, and M. E. Limsi-cnrs, Bref, a large vocabulary spoken corpus for french, pp.505-508

A. P. Dempster, N. M. Laird, and D. B. Rubin, Maximum likelihood from incomplete data via the em algorithm, Journal of the Royal Statistical Society, Series B, vol.39, issue.1, pp.1-38, 1977.

D. A. Reynolds, T. F. Quatieri, and R. B. Dunn, Speaker Verification Using Adapted Gaussian Mixture Models, Digital Signal Processing, vol.10, issue.1-3, pp.1-3, 2000.
DOI : 10.1006/dspr.1999.0361

URL : http://www.cse.ohio-state.edu/~dwang/teaching/cse788/papers/Reynolds-dsp00.pdf

A. Bedagkar-gala and S. K. Shah, A survey of approaches and trends in person re-identification, Image and Vision Computing, vol.32, issue.4, pp.270-286, 2014.
DOI : 10.1016/j.imavis.2014.02.001

Z. Zivkovic, Improved adaptive Gaussian mixture model for background subtraction, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004., pp.28-31, 2004.
DOI : 10.1109/ICPR.2004.1333992

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

R. Satta, Appearance descriptors for person reidentification : a comprehensive review, 2013.

M. Farenzena, L. Bazzani, A. Perina, V. Murino, and M. Cristani, Person re-identification by symmetrydriven accumulation of local features, Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on, pp.2360-2367, 2010.

P. Forssen, Maximally Stable Colour Regions for Recognition and Matching, 2007 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2007.
DOI : 10.1109/CVPR.2007.383120

W. Schwartz and L. Davis, Learning Discriminative Appearance-Based Models Using Partial Least Squares, 2009 XXII Brazilian Symposium on Computer Graphics and Image Processing, 2009.
DOI : 10.1109/SIBGRAPI.2009.42

URL : http://www.umiacs.umd.edu/users/lsd/papers/paperSibgrapi09.pdf

A. Bhattacharyya, On a measure of divergence between two multinomial populations, Sankhya : The Indian Journal of Statistics, vol.7, issue.4, pp.401-406, 1933.

A. Saxena and A. Ng, Learning sound location from a single microphone, 2009 IEEE International Conference on Robotics and Automation, pp.1737-1742, 2009.
DOI : 10.1109/ROBOT.2009.5152861

D. H. Mershon and L. E. King, Intensity and reverberation as factors in the auditory perception of egocentric distance, Perception & Psychophysics, vol.62, issue.6, pp.409-415
DOI : 10.2307/1418558

A. J. Kolarik, B. C. Moore, P. Zahorik, S. Cirstea, and S. Pardhan, Auditory distance perception in humans: a review of cues, development, neuronal bases, and effects of sensory loss, Attention, Perception, & Psychophysics, vol.21, issue.7, pp.1-23, 2015.
DOI : 10.1038/82931

E. Larsen, N. Iyer, C. R. Lansing, and A. S. Feng, On the minimum audible difference in direct-to-reverberant energy ratio, The Journal of the Acoustical Society of America, vol.124, issue.1, pp.450-461, 2008.
DOI : 10.1121/1.2936368

T. Falk, C. Zheng, and W. Chan, A Non-Intrusive Quality and Intelligibility Measure of Reverberant and Dereverberated Speech, Audio, Speech, and Language Processing, pp.1766-1774, 2010.
DOI : 10.1109/TASL.2010.2052247

J. F. Santos, M. Senoussaoui, and T. H. Falk, An updated objective intelligibility estimation metric for normal hearing listeners under noise and reverberation, International Workshop on Acoustic Signal Enhancement (IWAENC), 2014.