Groupwise Tracking of Crowded Similar-Appearance Targets from Low-Continuity Image Sequences
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来源:CVPR2016
本文适用于极度拥挤的情况,属于群组跟踪
创新点:(显微切片-->人)
本文提出了一种新的群组方法来探索目标群体的信息,并且用到了组内相关信息以进行关联和跟踪。尤其是,组内关联通过非刚性的2D ThinPlate变换来进行建模。一系列的组收缩(group shrinking),组成长(group growing)和组合并(group merging)的操作用于完成每个组的精细化组成。将所提及的方法用于追踪视频中拥挤的人群(with poor inter-frame continuity)。
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