Accurate object tracking by combining correlation filters and keypoints

Object tracking usually suffers from the geometrical deformations and occlusions of objects. This paper presents a new method for accurate object tracking by combining the multi-angle discriminative correlation filters and key-points under the framework of Discriminative Scale Space Tracker (DSST) tracker. Experimental results demonstrate that the proposed method can produce promising tracking results and outperform the-state-of-the-art methods using correlation filters.