Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation

  title={Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation},
  author={Sam Johnson and Mark Everingham},
Human pose estimation is the task of estimating the ‘pose’ or configuration of a person’s body parts e.g. labeling the position and orientation of the head, torso, arms and legs in an image. In this paper we propose an extension of the pictorial structure model (PSM) approach [2]. Our method incorporates richer models of appearance and prior over pose without introducing unacceptable computational expense. We build on the idea of a ‘mixture of trees’ model [3]. The space of human poses is… CONTINUE READING
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