arXiv:2308.12600
공식 코드 · Papers with Code
PoseSync: Robust pose based video synchronization
원문 초록
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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Representation Learning via Global Temporal Alignment and Cycle-Consistency
Video alignment using unsupervised learning of local and global features
ActAlign: Zero-Shot Fine-Grained Video Classification via Language-Guided Sequence Alignment
Beyond Audio and Pose: A General-Purpose Framework for Video Synchronization
TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning
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