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http://dx.doi.org/10.14400/JDC.2016.14.1.189

Realtime 3D Human Full-Body Convergence Motion Capture using a Kinect Sensor  

Kim, Sung-Ho (School of Computer, Information and Communication Engineering, Sangji Univ.)
Publication Information
Journal of Digital Convergence / v.14, no.1, 2016 , pp. 189-194 More about this Journal
Abstract
Recently, there is increasing demand for image processing technology while activated the use of equipments such as camera, camcorder and CCTV. In particular, research and development related to 3D image technology using the depth camera such as Kinect sensor has been more activated. Kinect sensor is a high-performance camera that can acquire a 3D human skeleton structure via a RGB, skeleton and depth image in real-time frame-by-frame. In this paper, we develop a system. This system captures the motion of a 3D human skeleton structure using the Kinect sensor. And this system can be stored by selecting the motion file format as trc and bvh that is used for general purposes. The system also has a function that converts TRC motion captured format file into BVH format. Finally, this paper confirms visually through the motion capture data viewer that motion data captured using the Kinect sensor is captured correctly.
Keywords
Kinect sensor; Motion capture; Motion file format; 3D skeleton; Motion format converter;
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Times Cited By KSCI : 4  (Citation Analysis)
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