PoseSync: Robust pose based video synchronization

Rishit Javia, Falak Shah, Shivam Dave
8/24/2023
cs.CV

No official code found. Best implementation: infocusp/posesync (7 stars, MIT, last commit 2023-10-24).

Abstract

Pose based video sychronization can have applications in multiple domains such as gameplay performance evaluation, choreography or guiding athletes. The subject's actions could be compared and evaluated against those performed by professionals side by side. In this paper, we propose an end to end pipeline for synchronizing videos based on pose. The first step crops the region where the person present in the image followed by pose detection on the cropped image. This is followed by application of Dynamic Time Warping(DTW) on angle/ distance measures between the pose keypoints leading to a scale and shift invariant pose matching pipeline.

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Code Implementations(1)

infocusp/posesyncCommunity100%
MIT
71Python, PureBasicAug 18, 20233 years agoMIT

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Cite this paper

@article{javia2023posesync,
  title  = {PoseSync: Robust pose based video synchronization},
  author = {Rishit Javia and Falak Shah and Shivam Dave},
  year   = {2023},
  eprint = {2308.12600},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2308.12600v1}
}

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