RTMO: Towards High-Performance One-Stage Real-Time Multi-Person Pose Estimation

arXiv:2312.07526v2 Announce Type: replace
Abstract: Real-time multi-person pose estimation presents significant challenges in balancing speed and precision. While two-stage top-down methods slow down as the number of people in the image increases, existing one-stage methods often fail to simultaneously deliver high accuracy and real-time performance. This paper introduces RTMO, a one-stage pose estimation framework that seamlessly integrates coordinate classification by representing keypoints using dual 1-D heatmaps within the YOLO architecture, achieving accuracy comparable to top-down methods while maintaining high speed. …

arxiv cs.cv performance person real-time stage type