eccv2004 (a boosted particle filter- multitarget detection and tracking)A Boosted Particle Filter: Multitarget Detection and Tracking Kenji Okuma, Ali Taleghani, Nando De Freitas, James J. Little, and David G. Lowe University of British Columbia, Vancouver B.C V6T 1Z4, CANADA, okumak@cs.ubc.ca, WWW home page: http://www.cs.ubc.ca/~okumak Abstract. The problem of tracking a varying number of non-rigid objects has two major diculties. First, the observation models and target distributions can be highly non-linear and non-Gaussian. Second, the presence of a large, varying number of objects creates complex interactions with overlap and ambiguities. To surmount these diculties, we introduce a vision system that is capable of learning, detecting and tracking the objects of interest. The system is demonstrated in the context of tracking hockey players using video se……