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학술지 Motion Capture of the Human Body Using Multiple Depth Sensors
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저자
김예진, 백성민, 배병철
발행일
201704
출처
ETRI Journal, v.39 no.2, pp.181-190
ISSN
1225-6463
출판사
한국전자통신연구원 (ETRI)
DOI
https://dx.doi.org/10.4218/etrij.17.2816.0045
협약과제
16CS1900, 청소년용 실감 체험형 스포츠 통합플랫폼 기술 개발, 김명규
초록
The movements of the human body are difficult to capture owing to the complexity of the three-dimensional skeleton model and occlusion problems. In this paper, we propose a motion capture system that tracks dynamic human motions in real time. Without using external markers, the proposed system adopts multiple depth sensors (Microsoft Kinect) to overcome the occlusion and body rotation problems. To combine the joint data retrieved from the multiple sensors, our calibration process samples a point cloud from depth images and unifies the coordinate systems in point clouds into a single coordinate system via the iterative closest point method. Using noisy skeletal data from sensors, a posture reconstruction method is introduced to estimate the optimal joint positions for consistent motion generation. Based on the high tracking accuracy of the proposed system, we demonstrate that our system is applicable to various motion-based training programs in dance and Taekwondo.
키워드
Depth sensor, Dynamic movements, Human motion, Motion capture, Multiple Kinect sensors, Training contents
KSP 제안 키워드
Body rotation, Closest point method, Coordinate system, Depth image, Depth sensor, External Markers, Human body, Human motion, Kinect Sensor, Microsoft Kinect, Motion capture system
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