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학술대회 3D Articulated Human Motion Analysis System Using a Single Low-Cost RGB-D Sensor
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저자
김종성, 김명규
발행일
201810
출처
International Conference on Information and Communication Technology Convergence (ICTC) 2018, pp.1446-1448
DOI
https://dx.doi.org/10.1109/ICTC.2018.8539680
협약과제
18KS1200, 청소년용 실감 체험형 스포츠 통합플랫폼 기술 개발, 김명규
초록
In this paper, an cost-effective, highly accurate 3D articulated human motion analysis system is proposed. In the proposed system, a single low-cost RGB-D sensor captures a color image and depth one of human motion. Then, a deep learning-based 2D motion analysis process accurately estimates intermediate 2D articulated human motion from the color image. Finally, a color-to-depth warping-based 3D motion transform process effectively compute final 3D articulated human motion from the depth image. The proposed system is cost-effective but highly accurate. Experimental results show that the proposed system outperforms the commercial system using the same RGB-D sensor when compared in terms of accuracy.
키워드
Articulated human motion, color-to-depth warping, deep learning, motion analysis, motion transform, RGB-D sensor
KSP 제안 키워드
2D motion analysis, 3D motion, Analysis Process, Color images, Depth image, Depth warping, Highly accurate, Learning-based, Low-cost, Motion analysis system, RGB-D Sensor