Review CMUPose & OpenPose — Winner in COCO KeyPoint Detection Challenge 2016 (Human Pose…

Original article can be found here (source): Deep Learning on Medium

Review CMUPose & OpenPose — Winner in COCO KeyPoint Detection Challenge 2016 (Human Pose Estimation)

First Open-Source Realtime System for Multi-Person 2D Pose Detection

In this story, CMUPose & OpenPose, are reviewed. CMUPose is the team name from Carnegie Mellon University which attended and winned the COCO keypoint detection challenge 2016. And the approach is published as 2017 CVPR with over 2000 citations.

CMUPose: Winner of the COCO keypoint detection challenge 2016 (http://cocodataset.org/#keypoints-leaderboard)

Afterwards, more enhanced OpenPose was proposed, by University of California, Carnegie Mellon University and Facebook Reality Lab, with the first combined body and foot keypoint dataset and detector. It is also the first open-source realtime system for multi-person 2D pose detection. Finally, it is published as 2019 TPAMI with over 300 citations. (Sik-Ho Tsang @ Medium)

Since OpenPose is the enhanced version of CMUPose, OpenPose is mainly mentioned in this story.