Comp-LOP: Complex form of local orientation plane for object tracking

In this paper, we propose complex form of local orientation plane (Comp-LOP) for object tracking. Comp-LOP is a simple but effective descriptor, which is robust to occlusion for object tracking. It effectively considers spatiotemporal relationship between the target and its surrounding regions in a correlation filter framework by the complex form, which successfully deals with the heavy occlusion problem. Moreover, scale estimation is performed to treat target scale variations for improving tracking accuracy. Besides, an appropriate size of the search region is determined without any manual adjustment by computing the entropy ratio of the target to background. Experimental results show that the proposed method achieves good performance in object tracking in terms of efficiency, accuracy, and robustness.