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학술대회 User Pose Estimation Based on Multiple Depth Sensors
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저자
백성민, 김명규
발행일
201711
출처
ACM SIGGRAPH Asia (SA) 2017, pp.1-2
DOI
https://dx.doi.org/10.1145/3145690.3145709
초록
Despite the diverse application of motion capture technology, it is challenging to capture people's motions unless they are wearing relevant equipment. This paper proposes a method of estimating the joint positions based on depth data as well as optimal joint selection in restoring the pose with multiple Kinect sensors. The proposed method enhances the accuracy of pose restoration, enables real-time capture of dynamic motions such as Taekwondo and applies to training programs for the general public.
KSP 제안 키워드
Depth Data, Depth sensor, Dynamic motion, Kinect Sensor, Motion Capture Technology, Pose estimation, Real-Time, Training programs