Recurrent human pose estimation
We propose a novel ConvNet model for predicting 2D human body poses in an image. The model regresses a heatmap representation for each body keypoint, and is able to learn and represent both the part appearances and the context of the part configuration. We make the following three contributions: (i)...
| Main Authors: | , |
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| Format: | Internet publication |
| Language: | English |
| Published: |
arXiv
2016
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