Computationally Efficient Regression on a Dependency Graph for Human Pose Estimation

  title={Computationally Efficient Regression on a Dependency Graph for Human Pose Estimation},
  author={Kota Hara and Rama Chellappa},
  journal={2013 IEEE Conference on Computer Vision and Pattern Recognition},
We present a hierarchical method for human pose estimation from a single still image. In our approach, a dependency graph representing relationships between reference points such as body joints is constructed and the positions of these reference points are sequentially estimated by a successive application of multidimensional output regressions along the dependency paths, starting from the root node. Each regressor takes image features computed from an image patch centered on the current node's… CONTINUE READING
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