3D Human Pose Estimation from Monocular Images with Deep Convolutional Neural Network

@inproceedings{Li20143DHP,
  title={3D Human Pose Estimation from Monocular Images with Deep Convolutional Neural Network},
  author={Sijin Li and Antoni B. Chan},
  booktitle={ACCV},
  year={2014}
}
Abstract. In this paper, we propose a deep convolutional neural network for 3D human pose estimation from monocular images. We train the network using two strategies: 1) a multi-task framework that jointly trains pose regression and body part detectors; 2) a pre-training strategy where the pose regressor is initialized using a network trained for body part detection. We compare our network on a large data set and achieve significant improvement over baseline methods. Human pose estimation is a… CONTINUE READING
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