Variable structure multiple model for articulated human motion tracking from monocular video sequences

作     者：HAN Hong 1,TONG MingLei 2,CHEN ZhiChao 1 & FAN YouJian 1 1 Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China,Institute of Intelligent Information Processing,Xidian University,Xi'an 710071,China 2 School of Computer and Information Engineering,Shanghai University of Electric Power,Shanghai 200090,China 

作者机构：Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China Institute of Intelligent Information Processing Xidian University Xi’an China School of Computer and Information Engineering Shanghai University of Electric Power Shanghai China 

出 版 物：《Science China(Information Sciences)》 (中国科学:信息科学(英文版))

年 卷 期：2012年第55卷第5期

页      面：1138-1150页

核心收录：

学科分类：0810[工学-信息与通信工程] 0808[工学-电气工程] 08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by National Natural Science Foundation of China (Grant Nos. 61075041,61105016,61001202,61001206) Fundamental Research Funds for the Central Universities (Grant No. K50510020009) Key Project of Ministry of Education of China (Grant No. 108115) National Research Foundation for the Doctoral Program of Higher Education of China (Grant No. 2010020312005) 

主　　题：human motion tracking ridge regression model groups design variable structure multiple model (VSMM) motion model group adaptation 

摘      要：A new model-based human body tracking framework with learning-based theory is introduced in this *** propose a variable structure multiple model (VSMM) framework to address challenging problems such as uncertainty of motion styles,imprecise detection of feature points,and ambiguity of joint *** human joint points are detected automatically and the undetected points are estimated with Kalman *** motion models are learned from motion capture data using a ridge regression *** model set that covers the total motion set is designed on the basis of topological and compatibility relationships,while the VSMM algorithm is used to estimate quaternion vectors of joint *** using real image sequences and simulation videos demonstrate the high efficiency of our proposed human tracking framework.