4898
Li Cheng, Minglun Gong, Dale Schuurmans, Terry Caelli
The authors examine the problem of segmenting foreground objects in live video when background scene textures change over time. In particular, we formulate background subtraction as minimizing a penalized instantaneous risk functional-yielding a local online discriminative algorithm that can quickly adapt to temporal changes. We analyze the algorithm’s convergence, discuss its robustness to nonstationarity, and […]

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