PoseSync: Robust pose based video synchronization
Abstract
A pipeline for synchronizing videos based on pose detection and Dynamic Time Warping allows for scale and shift invariant pose matching with applications in performance evaluation and guidance.
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.
Models citing this paper 0
No model linking this paper
Datasets citing this paper 0
No dataset linking this paper
Spaces citing this paper 2
Collections including this paper 0
No Collection including this paper