Robust object tracking via sparsity-based collaborative model

Abstract

In this paper we propose a robust object tracking algorithm using a collaborative model. As the main challenge for object tracking is to account for drastic appearance change, we propose a robust appearance model that exploits both holistic templates and local representations. We develop a sparsity-based discriminative classifier (SD-C) and a sparsity-based… (More)
DOI: 10.1109/CVPR.2012.6247882

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@article{Zhong2012RobustOT, title={Robust object tracking via sparsity-based collaborative model}, author={Wei Zhong and Huchuan Lu and Ming-Hsuan Yang}, journal={2012 IEEE Conference on Computer Vision and Pattern Recognition}, year={2012}, pages={1838-1845} }