Collaborative cameras for multi-target tracking using color based particle filter and object contour

Object tracking is a very active research field nowadays due to its numerous potential applications in video surveillance, e.g. human activity analysis, traffic monitoring. Recently the focus has been on multi-target tracking (MTT). While considering multiple target tracking applications, `multi-target occlusion´ is a common and challenging problem that needs to be addressed. Most of the proposed solutions for this problem require camera calibration parameters that make them impractical for outdoor video surveillance applications. To address this problem we propose in this paper a probabilistic approach that does not require camera calibration for multiple camera collaboration. Initial simulation results prove the validity of the proposed approach.