Motion Capture Data Segmentation Using Kernel Dynamic Texture

摘要：

Virtual human motion capture data has been widely applied in virtual reality, computer animation, etc. It is important to segment the motion data into small clips automatically in order to reuse these data. In this paper, a new method of motion capture data segmentation is proposed based on kernel dynamic texture. First we model the motion capture data using kernel dynamic texture, and then on the base of similarity measurement, we implement the segmentation method by which we can segment motion sequences into distinct behaviors automatically. Experimental results show that this approach provides the good performance.

作者: Wang Manjun Wang Wei Li Yan Qi Baojun Lv Zhiguo

作者单位: Institute of Automation, College of Mechatronics and Automation, National University of Defense Technology, Changsha, 410073, China

会议类型: 国际会议

会议名称: 第十届中国虚拟现实年会

会议地点: 上海

会议语种:英文

页码: 592-596

在线出版日期: 2010-10-20（万方平台首次上网日期，不代表论文的发表时间）