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Jérôme Berclaz - Postdoctoral researcher

EPFL - Computer Vision Laboratory
BC 304
Station 14
CH-1015 Lausanne
Suisse
Phone: (+41) 21 693 68 62
E-mail: jerome { DOT } berclaz { AT } epfl { DOT } ch

Current Research:

Publications:

J. Berclaz, F. Fleuret, E. Türetken and P. Fua, Multiple Object Tracking using K-Shortest Paths Optimization, accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011.
H. Ben Shitrit, J. Berclaz, F. Fleuret and P. Fua, Tracking Multiple people under Global Appearance Constraints, IEEE International Conference on Computer Vision, November 2011.
F. Fleuret, J. Berclaz, R. Lengagne and P. Fua, Multi-Camera People Tracking with a Probabilistic Occupancy Map, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 30, Nr. 2, pp. 267 - 282, February 2008.
J. Berclaz, F. Fleuret and P. Fua, Multiple Object Tracking using Flow Linear Programming, 12th IEEE International Workshop on Performance Evaluation of Tracking and Surveillance (Winter-PETS 2009), Snowbird, Utah , December 2009.
J. Berclaz, A. Shahrokni, F. Fleuret, J. Ferryman and P. Fua, Evaluation of Probabilistic Occupancy Map People Detection for Surveillance Systems, IEEE International Workshop on Performance Evaluation of Tracking and Surveillance, June 2009.
J. Berclaz, F. Fleuret and P. Fua, Principled Detection-by-Classification from Multiple Views, Proceedings of the Third International Conference on Computer Vision Theory and Applications, Vol. 2, pp. 375 - 382, January 2008.
J. Berclaz, F. Fleuret and P. Fua, Multi-Camera Tracking and Atypical Motion Detection with Behavioral Maps, European Conference on Computer Vision, October 2008.
A. Lanza, L. Di Stefano, J. Berclaz, F. Fleuret and P. Fua, Robust Multi-View Change Detection, British Machine Vision Conference, Warwick, UK, 2007.
J. Berclaz, F. Fleuret, and P. Fua, Robust People Tracking with Global Trajectory Optimization, Conference on Computer Vision and Pattern Recognition, 2006.
Akihiko Sugiyama, Jérôme Berclaz and Miki Sato, Noise-robust double-talk detection based on normalized cross correlation and a noise offset, in IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.

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Last update : 03 December 2010 08:16:52