Hsu & Lyons: Combining Multiple Scoring Systems For Video Target Tracking Based on Rank-Score Function Variation Combining Multiple Scoring Systems For Video Target Tracking Based on Rank-Score Function Variation

Tracking of video targets is the process of estimating the current and predicting the future state of a target from a sequence of video sensor measurements. Multitarget video tracking is complicated by the fact that targets can occlude one another and affect video feature measurements in a highly non-linear and difficult to model fashion., Tracking multiple targets that undergo repeated mutual occlusions is a challenging problem with several issues to be addressed. In this paper we propose a multisensory fusion approach to the problem of multitarget video tracking with occlusion. Each sensory cue is treated as a scoring system on the set of possible target tracks. Scoring behavior is characterized by a rank-score function, defined by Hsu and Taksa [11]. A diversity measure defined by Hsu, Chung and Kristal [7] is used base