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)

PDF Abstract


No code implementations yet. Submit your code now


Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper

🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet