Correlation Filter Selection for Visual Tracking Using Reinforcement Learning

8 Nov 2018Yanchun XieJimin XiaoKaizhu HuangJeyarajan ThiyagalingamYao Zhao

Correlation filter has been proven to be an effective tool for a number of approaches in visual tracking, particularly for seeking a good balance between tracking accuracy and speed. However, correlation filter based models are susceptible to wrong updates stemming from inaccurate tracking results... (read more)

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