상세정보
학술대회
Human Pose Estimation Using Articulated ICP
- 발행일
- 201912
- 출처
- International Conference on Control and Robot Technology (ICCRT) 2019, pp.125-129
- 협약과제
- 19HS6900, 발달장애인의 가상 직업훈련 효과강화를 위한 장애특화 몰입 콘텐츠 기술개발, 길연희
- 초록
- This paper proposes a method of human pose reconstruction using the depth data inputs in multi depth sensors. Utilizing the articulated ICP technique for pose estimation, the proposed method firstly maps a model from parent nodes, and then searches the points adjacent to joints. The proposed method addresses the challenges of the existing method of using a single sensor such as occlusion, and enables real-time 3D pose reconstruction involving movements and 360째omni-directional rotations while tracking 1~5 user IDs. Precluding the necessity of pre-training data or motion capture data, the method uses a simple model to compute the ICP and applies the point search, which allows the fast and accurate pose reconstruction.
- KSP 제안 키워드
- 3D pose, Depth Data, Depth sensor, Fast and accurate, Human pose estimation, Motion Capture Data, Pre-Training, Real-time 3d, human pose reconstruction, simple model, single sensor