arXiv:2501.18478
공식 코드 · Papers with Code
SimpleDepthPose: Fast and Reliable Human Pose Estimation with RGBD-Images
원문 초록
In the rapidly advancing domain of computer vision, accurately estimating the poses of multiple individuals from various viewpoints remains a significant challenge, especially when reliability is a key requirement. This paper introduces a novel algorithm that excels in multi-view, multi-person pose estimation by incorporating depth information. An extensive evaluation demonstrates that the proposed algorithm not only generalizes well to unseen datasets, and shows a fast runtime performance, but also is adaptable to different keypoints. To support further research, all of the work is publicly accessible.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
DETRPose: Real-time end-to-end transformer model for multi-person pose estimation
SEPose: A Synthetic Event-based Human Pose Estimation Dataset for Pedestrian Monitoring
LGM-Pose: A Lightweight Global Modeling Network for Real-time Human Pose Estimation
MultiFormer: A Multi-Person Pose Estimation System Based on CSI and Attention Mechanism
Multi-person Physics-based Pose Estimation for Combat Sports
RapidPoseTriangulation: Multi-view Multi-person Whole-body Human Pose Triangulation in a Millisecond
토론
이 논문과 연결된 포럼 글이 아직 없습니다.