3D Freehand Tracking Based on Relevancy Among Local Motion Models  

作　　者：FENG Zhiquan YANG Bo ZHENG Yanwei XU Tao 

机构地区：[1]School of Information Science and Engineering, University of Jinan, Jinan 250022, China [2]Provincial Key Laboratory for Network Based Intelligent Computing, Jinan 250022, China

出　　处：《Chinese Journal of Electronics》2013年第3期530-536,共7页电子学报（英文版）

基　　金：This work is supported by the National Natural Science Foundation of China （No.61173079, No.60973093, No.61173078）, the Key Project of Natural Science Foundation of Shandong Province （No.ZR2011FZ003） and Program for New Century Excellent Talents in University （No.NCET-10-0863）.

摘　　要：A novel 3D freehand tracking algorithm based on relevancy among local motion models is put forward. Firstly, a specification of the Cognitive and behavioral model （CBM） called PAMT is proposed. Secondly we regard PAMT as a data structure upon which freehand tracking algorithm is designed, and we describe the PAMT in detail. Lastly, the experimental results are provided. The proposed algorithm is tested in a virtual assembly platform and two other application systems. The highlights of this paper are as follows： （1） A new cognitive and behavioral model, called PAMT, is presented; （2） The PAMT is explained with cognitive model; （3） Focus on describing ＇Attractor in PAMT with the relevancy among local motion models; （4） Shows us how the PAMT is shaped and used to design the 3D freehand tracker. One of the advantages of PAMT and RLMM model is that it is easier to explore some of the complex correlations among the variables of the 3D hand model. Our experimental results show that, compared with the particle filter and the annealed particle filter, our algorithm effectively reduces dimensionality and can track 3D hand in real-time.

关 键 词：3D hand tracking Cognitive behavioral model High dimensionality reduction Human-computer interact ion. 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TN953[自动化与计算机技术—计算机科学与技术]