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학술대회 Human Pose Estimation Using Articulated ICP
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저자
백성민, 길연희
발행일
201912
출처
International Conference on Control and Robot Technology (ICCRT) 2019, pp.125-129
DOI
https://dx.doi.org/10.1145/3387304.3387309
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.
키워드
articulated ICP, calibration, human pose estimation, ID tracking, multi-kinects
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