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[R] New SOTA in multi-camera 3D human pose estimation

[R] New SOTA in multi-camera 3D human pose estimation

Video: https://youtu.be/z3f3aPSuhqg

Project page: https://saic-violet.github.io/learnable-triangulation

arXiv paper: https://arxiv.org/abs/1905.05754

Hi!

In this work we managed to smash previous state-of-the-art result in 3D human pose estimation using a novel multi-view volumetric aggregation method. We hope this work will revolutionize the motion capture industry!

The main practical result of the work: if you have several cameras pointing to a human, then with the help of our method you will be able to determine his high-quality and smooth in time 3D skeleton.

There’re many possible applications:

  • Motion capture – animate characters in movies/games
  • Surveillance – to understand what a person took from the shelf in a store without sellers (e.g. Amazon Go)
  • Human-Computer interface – to play games like “Just Dance”
  • Sport tracking – to understand how players move around the field
  • Self Driving Cars – to understand how and where the pedestrians cross the road

Will be glad to answer any questions!

submitted by /u/karfly
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.