  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.
