Random grid fern for visual tracking
Fei Cheng, Kai Liu, Jin Zhang, Yunsong Li · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2014
Visual tracking is one of the significant research directions in computer vision. Although standard random ferns tracking method obtains a good performance for the random spatial arrangement of binary tests, the effect of the locality of image on ferns description ability are ignored and prevent them to describe the object more accurately and robustly. This paper proposes a novel spatial arrangement of binary tests to divide the bounding box into grids in order to keep more details of the image for visual tracking. Experimental results show that this method can improve tracking accuracy effectively.