基于检索的人体运动识别和模拟  

Human Motion Recognition and Simulation Based on Retrieval

作　　者：赵国英[1] 李振波[1] 邓宇[1] 李华[1] 

机构地区：[1]中国科学院计算技术研究所智能信息处理重点实验室

出　　处：《计算机研究与发展》2006年第2期368-374,共7页Journal of Computer Research and Development

基　　金：国家"八六三"高技术研究发展计划基金项目(2001AA231031);国家"九七三"重点基础研究发展规划基金项目(G1998030608);国家科技攻关计划课题奥运科技专项基金项目(2001BA904B08)~~

摘　　要：运动识别和模拟是人体运动分析中重要的研究内容·实现了以检索为基础的实验性的运动分析系统·小波矩具有平移、旋转和缩放不变性,能够提取局部多层次特征,被用来作为特征描述运动序列以及动作·根据相似性实现运动识别,利用动态时间变形(DTW)实现序列的动作匹配,在poser建模、依据正多面体分割的金字塔模型得到多视点投影视频的数据库中进行识别和匹配,并以三维模型的形式显示出来·实验结果可以模拟人体运动以及为进一步分析提供初始分析数据·Motion recognition and simulation are important in human motion analysis. In this paper, an experimental motion analysis system based on retrieval is implemented. Wavelet moments are translation, rotation and scale invariant, and can extract local multi-level features, so they are applied as features to describe motion sequence and actions. Motion recognition is implemented based on the similarity of motion sequences, while action match is addressed using dynamic time warping （DTW）. Resulted motion simulation is represented in 3D models, Experiments show the algorithm based on retrieval is efficient for motion recognition and simulation. Retrieval results can simulate human motion, or provide the coarse human motion configuration data for further analysis.

关 键 词：小波矩 运动识别 动作检索 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]