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Network flow model (NF) with the pairwise property has been paid more attention by researchers in recent years. However, the pairwise will bring a detrimental tracking performance under the occlusion case, such as the phenomenon of ID switches (IDs) and frequent appearing of fragments. Referring to the pairwise, we propose the robust network flow (RNF) model, which is based on a prior that every candidate...
Many conventional computer vision object tracking methods are sensitive to partial occlusion and background clutter. This is because the partial occlusion or little background information may exist in the bounding box, which tends to cause the drift. To this end, in this paper, we propose a robust tracker based on key patch sparse representation (KPSR) to reduce the disturbance of partial occlusion...
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