The robust patches-based tracking method via sparse representation

Abstract

Occlusion is one important problem in single object tracking. However, conventional methods are not capable of making full use of the spatial information because of occlusion, which may lead to the drift. In this paper, we propose a robust patches-based tracking method via sparse representation, namely RPSR, which selects the unoccluded patches, and adaptively assigns larger contribution factors to them. The experimental results on popular benchmark video sequences show that our RPSR method is effective and outperforms the state-of-the-art methods for single object tracking.