Random grid fern for visual tracking

Fei Cheng; Kai Liu; Jin Zhang; YunSong Li

doi:10.1117/12.2053154

22 May 2014 Random grid fern for visual tracking

Fei Cheng, Kai Liu, Jin Zhang, YunSong Li

Proceedings Volume 9124, Satellite Data Compression, Communications, and Processing X; 91241G (2014) https://doi.org/10.1117/12.2053154
Event: SPIE Sensing Technology + Applications, 2014, Baltimore, MD, United States

Abstract

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.

Citation Download Citation

Fei Cheng, Kai Liu, Jin Zhang, and YunSong Li "Random grid fern for visual tracking", Proc. SPIE 9124, Satellite Data Compression, Communications, and Processing X, 91241G (22 May 2014); https://doi.org/10.1117/12.2053154

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