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联合轮廓法在低分辨率视频下的多目标追踪
引用本文:程光,罗予频,王宏宝. 联合轮廓法在低分辨率视频下的多目标追踪[J]. 计算机工程与应用, 2007, 43(2): 64-66
作者姓名:程光  罗予频  王宏宝
作者单位:清华大学,自动化系,北京,100084;清华大学,自动化系,北京,100084;清华大学,自动化系,北京,100084
摘    要:相似目标间的遮挡一直是多目标追踪问题中的难点。针对这个问题提出了联合轮廓法。这种方法在使用粒子滤波器的基础上,通过对遮挡目标集的外轮廓建模来确定处于遮挡关系中目标的状态,从而进一步得到目标的轨迹。算法在实验中显示了良好的鲁棒性,并且计算复杂度与遮挡目标的个数成二次多项式关系。

关 键 词:多目标追踪  粒子滤波器  联合轮廓法  主动形状模型
文章编号:1002-8331(2007)02-0064-03
修稿时间:2006-05-01

Multiple objects tracking in low resolution based on joint contour method
CHENG Guang,LUO Yu-pin,WANG Hong-bao. Multiple objects tracking in low resolution based on joint contour method[J]. Computer Engineering and Applications, 2007, 43(2): 64-66
Authors:CHENG Guang  LUO Yu-pin  WANG Hong-bao
Affiliation:Department of Automation,Tsinghua University, Beijing 100084,China
Abstract:Tracking multiple similar objects is a challenging task,expecially in resolution,because of occlusion between objects.The Joint Contour Method(JCM) based on the particle filter is proposed to solve the problem of partial occlusion in this paper.It is a method to determine the object status by modeling the contour of the set of objects in occlusion.The computational complexity of JCM increases second-degree polynomially with the number of objects.The experiments demonstrate the robustness of the method.
Keywords:multiple objects tracking  particle filter  joint contour method   active shape model
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