Human Pose Estimator

Detect humans in an image and estimate the pose for each person.




This model detects humans and their poses in a given image. The model first detects the humans in the input image and then identifies the body parts, including nose, neck, eyes, shoulders, elbows, wrists, hips, knees, and ankles. Next, each pair of associated body parts is connected by a pose line. The pose lines are assembled into full body poses for each of the humans detected in the image. The model is based on the TF implementation of OpenPose model.


Zhe Cao, Tomas Simon, Shih-En Wei, Yaser Sheikh, “Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields”, CVPR 2017.TF-Pose-Estimation Github Repository

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