Groupwise Tracking of Crowded Similar-Appearance Targets From Low-Continuity Image Sequences

CVPR 2016 Hongkai YuYoujie ZhouJeff SimmonsCraig P. PrzybylaYuewei LinXiaochuan FanYang MiSong Wang

Automatic tracking of large-scale crowded targets are of particular importance in many applications, such as crowded people/vehicle tracking in video surveillance, fiber tracking in materials science, and cell tracking in biomedical imaging. This problem becomes very challenging when the targets show similar appearance and the inter-slice/inter-frame continuity is low due to sparse sampling, camera motion and target occlusion... (read more)

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