Tracking Human Pose by Tracking Symmetric Parts

@article{Ramakrishna2013TrackingHP,
  title={Tracking Human Pose by Tracking Symmetric Parts},
  author={Varun Ramakrishna and Takeo Kanade and Yaser Sheikh},
  journal={2013 IEEE Conference on Computer Vision and Pattern Recognition},
  year={2013},
  pages={3728-3735}
}
The human body is structurally symmetric. Tracking by detection approaches for human pose suffer from double counting, where the same image evidence is used to explain two separate but symmetric parts, such as the left and right feet. Double counting, if left unaddressed can critically affect subsequent processes, such as action recognition, affordance estimation, and pose reconstruction. In this work, we present an occlusion aware algorithm for tracking human pose in an image sequence, that… CONTINUE READING
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