PoseTrack: Joint Multi-Person Pose Estimation and Tracking

CVPR 2017 Umar IqbalAnton MilanJuergen Gall

In this work, we introduce the challenging problem of joint multi-person pose estimation and tracking of an unknown number of persons in unconstrained videos. Existing methods for multi-person pose estimation in images cannot be applied directly to this problem, since it also requires to solve the problem of person association over time in addition to the pose estimation for each person... (read more)

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