Human Body Motion Capture via 3D Graph-cuts

Author(s):  
Chengkai Wan ◽  
Baozong Yuan ◽  
Yunda Sun ◽  
Zhenjiang Miao

2008 ◽  
Vol 24 (5) ◽  
pp. 373-380 ◽  
Author(s):  
Chengkai Wan ◽  
Baozong Yuan ◽  
Zhenjiang Miao




2014 ◽  
Vol 47 (3) ◽  
pp. 79-85 ◽  
Author(s):  
Manon Kok ◽  
Jeroen D. Hol ◽  
Thomas B. Schön


2013 ◽  
Vol 722 ◽  
pp. 454-458
Author(s):  
Shu Ai Li ◽  
Yong Sheng Wang ◽  
Rui Pai Xiang

To solve the bottleneck problem of defining motion trajectory of virtual role in animation creation process, this paper presents a solution of mechanical human body motion capture technology, mainly involving inertia sensing technology, Bluetooth, the design of sensor network nodes and the development of reconstruction software of human body motion model. The system uses sensor network to collect motion data of the body key joints, and the data are delivered to workstation through Bluetooth, the software on workstation uses analytical inverse kinematics algorithm to analyze the motion data. So the system has advantages of lower cost and high precision. Meanwhile, the paper also provides a solid foundation for the research of multiplayer real-time motion capture technology.



Author(s):  
Naoya YOSHIKAWA ◽  
Yasuyuki SUZUKI ◽  
Wataru OZAKI ◽  
Tomohisa YAMAMOTO ◽  
Taishin NOMURA




Author(s):  
Zhiqiang Zhang ◽  
Zheng Wu ◽  
Jiang Chen ◽  
Jian-Kang Wu


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