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Motion blur is pervasive in object tracking due to the camera and target movement. Most approaches are prone to drift when the target is blurred. Sparse representation of both normal and blur templates are able to improve the robustness of the appearance model, but how to update the template set remains a difficult problem. To solve this prob-lem, we propose a two-step observation correction strategy...
Visual tracking is a challenging problem in computer vision. Most state-of-the-art visual trackers either rely on intensity information, texture information, or use simple color representations for image description, which cannot provide allaround invariance to different scene conditions. Meanwhile there exists no single tracking approach that can successfully handle all scenarios. Due to the complexity...
Biologically inspired C2 feature has been introduced to visual tracking problem in the previous work. Because of the scale invariance and the complex shape selectivity of C2 feature, the tracking model can obtain good performance even in some challenging videos. However, the C2 feature lacks of the relative position relationship among the patches. It may cause tracking drift when dealing with approximately...
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