会议专题

Energy Description of Human Motion Capture Data

In this paper,we present a novel energy-based model to describe human motion.According to biomechanics attribute of human body,we define kinetic and potential energy for each joint,upon which we convert the trajectory-based description of human motion into multi-dimensional energy series.As Dynamic Time Warping (DTW) distance is used to measure the similarity of motions,we employ an index for DTW,which is based on piecewise constant approximation,in order to speed up the query.

Lin Feng Tao Sun Xiaowen Pan Xiao Shen

Lin Feng received Bsc,Msc,PhD degrees all from Dalian University of technology in 1992,1995 and 2004 Tao Sun received Bsc,Msc and PhD degrees all from Dalian University of Technology in 1998,2002,2006 Xiaowen Pan are students in Dalian University of Technology whose research interests are in the area Xiao Shen are students in Dalian University of Technology whose research interests are in the areas

国际会议

9th International Conference on Signal Processing(第九届国际信号处理学术会议)(ICSP08)

北京

英文

2008-10-26(万方平台首次上网日期,不代表论文的发表时间)