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Robust multi-object tracking using sparse appearance representation and online sparse appearance dictionary update
Robust multi-object tracking using sparse appearance representation and online sparse appearance dictionary update
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机译：使用稀疏外观表示和在线稀疏外观字典更新进行稳健的多对象跟踪
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摘要
A computer-implemented method for tracking one or more objects in a sequence of images includes generating a dictionary based on object locations in a first image included in the sequence of images. One or more object landmark candidates are identified in the sequence of images and a plurality of tracking hypothesis for the object landmark candidates are generated. A first tracking hypothesis is selected from the plurality of tracking hypothesis based on the dictionary.
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