| 基于局部模板匹配的运动目标跟踪 |
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| 引用本文： | 卢建国. 基于局部模板匹配的运动目标跟踪[J]. 光电子．激光, 2011, 0(2): 297-301 |
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| 作者姓名： | 卢建国 |
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| 作者单位： | 北京邮电大学信息与通信工程学院;成都信息工程学院计算机学院; |
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| 基金项目： | 国家自然科学基金资助项目(60772114) |
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| 摘 要： | 针对环境中障碍物对被跟踪目标构成不可预知的遮挡问题,提出了一种新的基于局部区域特征匹配的跟踪算法.首先采用一组基本观察片图模拟目标的外观;其次提出了一种将运动轨迹特性与动态模型结合的采样结构,采用马尔可夫链蒙特卡洛(MCMC,Markov chain Monte Carlo)方法独立估计每个基本片图的状态,并使用运动区...
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| 关 键 词： | 目标跟踪 遮挡 基本片图 马尔可夫链蒙特卡洛(MCMC) |
Moving object tracking based on part-template matching |
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| LU Jian-guo. Moving object tracking based on part-template matching[J]. Journal of Optoelectronics·laser, 2011, 0(2): 297-301 |
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| Authors: | LU Jian-guo |
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| Affiliation: | LU Jian-guo1,CAI An-ni1,LI Li-li2(1.School of Information and Communication Engineering,Beijing University of Posts and Telecommunications,Beijing 100876,China,2.Department of Computer,Chengdu University of Information Technology,Chengdu 610225,China) |
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| Abstract: | To solve the problem of unpredictable occlusion by obstacles in environment,a novel tracking algorithm based on local-area feature matching is proposed.Firstly,the target appearance is modeled using a set of elementary observation patches.Then a sampling structure is proposed by combing the features of trajectory and dynamic model.The elementary patches are tracked independently using Markov chain Monte Carlo method based on the new sampling model.The validated feature patches are selected using the coheren... |
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| Keywords: | object tracking occlusion elementary patch Markov chain Monte Carlo(MCMC) |
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