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2012

Sparse Occlusion Detection with Optical Flow

9 years 2 months ago
Sparse Occlusion Detection with Optical Flow
Abstract We tackle the problem of detecting occluded regions in a video stream. Under assumptions of Lambertian reflection and static illumination, the task can be posed as a variational optimization problem, and its solution approximated using convex minimization. We describe efficient numerical schemes that reach the global optimum of the relaxed cost functional, for any number of independently moving objects, and any number of occlusion layers. We test the proposed algorithm on benchmark datasets, expanded to enable evaluation of occlusion detection performance, in addition to optical flow. Keywords Occlusion detection · Optical flow · Convex optimization · Sparse optimization · Nesterov’s algorithm · Split-Bregman method
Alper Ayvaci, Michalis Raptis, Stefano Soatto
Added 29 Sep 2012
Updated 29 Sep 2012
Type Journal
Year 2012
Where IJCV
Authors Alper Ayvaci, Michalis Raptis, Stefano Soatto
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