Video-Based Human Pose Regression via Decoupled Space-Time Aggregation

arXiv:2403.19926v1 Announce Type: new
Abstract: By leveraging temporal dependency in video sequences, multi-frame human pose estimation algorithms have demonstrated remarkable results in complicated situations, such as occlusion, motion blur, and video defocus. These algorithms are predominantly based on heatmaps, resulting in high computation and storage requirements per frame, which limits their flexibility and real-time application in video scenarios, particularly on edge devices. In this paper, we develop an efficient and effective video-based human pose regression method, which bypasses intermediate representations …

aggregation arxiv cs.cv human regression space type via video