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IET International Conference on Visual Information Engineering (VIE 2006)
This paper approaches the problem of surveillance event characterization at two levels. First, the information characterizable at the single camera image-plane level, where we use a set of occlusion primitives to define a set of time-varying predicates on heterogeneous objects moving in unknown environments. After learning the scene background online, tracking data generates overlapping agent trajectories. Agent appearance and trajectories are clustered to discover both agent and objectdoi:10.1049/cp:20060572 fatcat:gvir25b7ljaqjkkuihphcifikm