Home

Awesome

Realtime Multi-Person Pose Estimation

By Zhe Cao, Tomas Simon, Shih-En Wei, Yaser Sheikh.

Introduction

Code repo for winning 2016 MSCOCO Keypoints Challenge, 2016 ECCV Best Demo Award, and 2017 CVPR Oral paper.

Watch our video result in YouTube or our website.

We present a bottom-up approach for realtime multi-person pose estimation, without using any person detector. For more details, refer to our CVPR'17 paper, our oral presentation video recording at CVPR 2017 or our presentation slides at ILSVRC and COCO workshop 2016.

<p align="left"> <img src="https://github.com/ZheC/Multi-Person-Pose-Estimation/blob/master/readme/dance.gif", width="720"> </p> <p align="left"> <img src="https://github.com/ZheC/Multi-Person-Pose-Estimation/blob/master/readme/shake.gif", width="720"> </p>

This project is licensed under the terms of the license.

Other Implementations

Thank you all for the efforts for the reimplementation! If you have new implementation and want to share with others, feel free to make a pull request or email me!

Contents

  1. Testing
  2. Training
  3. Citation

Testing

C++ (realtime version, for demo purpose)

Matlab (slower, for COCO evaluation)

Python

Training

Network Architecture

Teaser?

Training Steps

Citation

Please cite the paper in your publications if it helps your research:

@inproceedings{cao2017realtime,
  author = {Zhe Cao and Tomas Simon and Shih-En Wei and Yaser Sheikh},
  booktitle = {CVPR},
  title = {Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields},
  year = {2017}
  }
  
@inproceedings{wei2016cpm,
  author = {Shih-En Wei and Varun Ramakrishna and Takeo Kanade and Yaser Sheikh},
  booktitle = {CVPR},
  title = {Convolutional pose machines},
  year = {2016}
  }