基于二维关节型人体模型和EM算法的人体跟踪
YuHuang;ThomasS.Huang
【期刊名称】《自动化学报》 【年(卷),期】2003(029)003
【摘要】Visual tracking of human body movement is a key technology in a number of areas, such as visual surveillance and monitoring. In this paper we present a 2-D model-based method of human body tracking from a monocular video sequence. Morris & Rehg put forward a 2-D scaled prismatic model(SPM) for figure registration which has far fewer singularity problems than 3-D models. Here we extend it in a 2-D cardboard human body model with additional one DOF of width change. Based on this modified 2-D model rather than 3-D model in Bregler & Malik′s work, we also set up a mixture motion model for body movements and then solve motion parameters of the articulated body using EM in a statistical framework, where the model-based kinematic constraints are incorporated in a linear form. Tracking results from real video sequences are encouraging.%提出一种跟踪单眼图像序列中的行人,并恢复其运动参数的新方法.在跟踪中采用了基于SPM(Scaled Prismat Model)扩展的二维纸板人模型取代三维人体模型,以获取更快的计算速度.作者使用EM算法在概率框架下进行运动估计,同时,算法也考虑了混合的运动模型和运动约束,以减小解的搜索空间.试验结果证明了该方法的有效性. 【总页数】13页(332-344)
【关键词】人体跟踪;EM算法;二维关节运动 【作者】YuHuang;ThomasS.Huang
【作者单位】Beckman Institute, UIUC, Urbana, Illinois, IL61801, 美国;Beckman Institute, UIUC, Urbana, Illinois, IL61801, 美国 【正文语种】中文 【中图分类】TP391.41 【文献来源】
https://www.zhangqiaokeyan.com/academic-journal-cn_acta-automatica-sinica_thesis/0201243670118.html 【相关文献】
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基于二维关节型人体模型和EM算法的人体跟踪
