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Developing an effective and efficient appearance model for robust visual tracking is difficult because of various interfering factors, such as postural change, occlusion, and rapid motion. More and more visual tracking methods tend to exploit local sparse appearance model to deal with the above problems. Since in the local sparse appearance model, all individual patch together to form a complete target...
Object tracking under complex circumstances is a challenging task because of background interference, obstacle occlusion, object deformation, etc. Given such conditions, robustly detecting, locating, and analyzing a target through single-feature representation are difficult tasks. Global features, such as color, are widely used in tracking, but may cause the object to drift under complex circumstances...
Obtaining the exact spatial information of moving objects is a crucial and difficult task during visual object tracking. In this study, a comprehensive spatial feature similarity (CSFS) strategy is proposed to compute the confidence level of target features. This strategy is used to determine the current position of the target among candidates during the tracking process. Given that the spatial information...
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