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Visual tracking is a critical task in many computer vision applications such as surveillance and robotics. However, although the robustness to local corruptions has been improved, prevailing trackers are still sensitive to large scale corruptions, such as occlusions and illumination variations. In this paper, we propose a novel robust object tracking technique depends on subspace learning-based appearance...
Particle filter and sparse representation have been successfully applied to visual tracking in computer vision community. This paper proposes an adaptive weighted coarse-to-fine sparse tracking(WCFT) method based on particle filter framework. In this method, two series of templates, coarse templates and fine templates, are used to represent two different stages of human vision perception process respectively...
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