상세정보
학술지
Motion Capture of the Human Body Using Multiple Depth Sensors
- 저자
- 김예진, 백성민, 배병철
- 발행일
- 201704
- 출처
- ETRI Journal, v.39 no.2, pp.181-190
- ISSN
- 1225-6463
- 출판사
- 한국전자통신연구원 (ETRI)
- 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.
- KSP 제안 키워드
- Body rotation, Closest point method, Coordinate system, Depth image, Depth sensor, External Markers, Human body, Human motion, Microsoft Kinect, Motion capture system, Motion-based
본 저작물은 공공누리 제4유형 : 출처표시 + 상업적 이용금지 + 변경금지 조건에 따라 이용할 수 있습니다.
