2D Human Pose Estimation: New Benchmark and State of the Art Analysis

@article{Andriluka20142DHP,
  title={2D Human Pose Estimation: New Benchmark and State of the Art Analysis},
  author={Mykhaylo Andriluka and Leonid Pishchulin and Peter V. Gehler and Bernt Schiele},
  journal={2014 IEEE Conference on Computer Vision and Pattern Recognition},
  year={2014},
  pages={3686-3693}
}
Human pose estimation has made significant progress during the last years. However current datasets are limited in their coverage of the overall pose estimation challenges. Still these serve as the common sources to evaluate, train and compare different models on. In this paper we introduce a novel benchmark "MPII Human Pose" that makes a significant advance in terms of diversity and difficulty, a contribution that we feel is required for future developments in human body models. This… CONTINUE READING
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