Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields

CVPR 2017 Zhe CaoTomas SimonShih-En WeiYaser Sheikh

We present an approach to efficiently detect the 2D pose of multiple people in an image. The approach uses a nonparametric representation, which we refer to as Part Affinity Fields (PAFs), to learn to associate body parts with individuals in the image... (read more)

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Evaluation results from the paper

Task Dataset Model Metric name Metric value Global rank Compare
Keypoint Detection COCO Part Affinity Fields Validation AP 60.5 # 7
Multi-Person Pose Estimation MPII Multi-Person Part Affinity Fields AP 75.6% # 4