Implementing a robust visual tracker is a challenging task due to many disturbing factors such as illumination changes, appearance changes, rotation, partial or full occlusion, etc. The local context surrounding of the target could provide much effective information in getting a robust tracker. The spatio-temporal context(STC) learning algorithm proposed recently considers the information of the dense context around the target and has achieved a better performance.However, STC treats the whole region of the...
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