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Conference Paper Human Pose Estimation Using Articulated ICP
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Authors
Seongmin Baek, Younhee Gil
Issue Date
2019-12
Citation
International Conference on Control and Robot Technology (ICCRT) 2019, pp.125-129
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1145/3387304.3387309
Abstract
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 Keywords
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