Tracking with Active Contours Using Dynamically Updated Shape Information
نویسندگان
چکیده
An active contour based tracking framework is described that generates and integrates dynamic shape information without having to learn a priori shape constraints. This dynamic shape information is combined with dynamic photometric foreground model matching and background mismatching. Boundary based optical flow is also used to estimate the location of the object in each new frame, incorporating Procrustes shape alignment. Promising results under complex deformations of shape, varied levels of noise, and closeto-complete occlusion in complex textured backgrounds are presented.
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