Real-Time Visual Tracking: Promoting the Robustness of Correlation Filter Learning

29 Aug 2016Yao SuiZiming ZhangGuanghui WangYafei TangLi Zhang

Correlation filtering based tracking model has received lots of attention and achieved great success in real-time tracking, however, the lost function in current correlation filtering paradigm could not reliably response to the appearance changes caused by occlusion and illumination variations. This study intends to promote the robustness of the correlation filter learning... (read more)

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