Context-aware tracking of a video object using a sparse representation framework

摘要

A method, system, and/or computer program product tracks an object in a video. A bounding box is defined by the user in a first frame, thus representing the object to be tracked based on a point of interest. A static dictionary D is populated with the densely overlapping patches from a search window. A new frame in the video is detected, and candidate patches, in the new frame, that potentially depict the object being tracked are identified. The candidate patches are co-located with the multiple densely overlapping patches to form a dynamic candidate dictionary Y of candidate patches. Candidate patches that best match the densely overlapping patches from the first frame are identified by an L1-norm solution, in order to identify a best-matched patch in the new frame.