Multi-Person Pose Estimation with Local Joint-to-Person Associations

30 Aug 2016Umar IqbalJuergen Gall

Despite of the recent success of neural networks for human pose estimation, current approaches are limited to pose estimation of a single person and cannot handle humans in groups or crowds. In this work, we propose a method that estimates the poses of multiple persons in an image in which a person can be occluded by another person or might be truncated... (read more)

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Evaluation results from the paper


Task Dataset Model Metric name Metric value Global rank Compare
Multi-Person Pose Estimation MPII Multi-Person Local Joint-to-Person Association AP 62.2% # 6