| 视频目标跟踪算法综述 |
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| 引用本文： | 蔡荣太,吴元昊,王明佳,吴庆祥.视频目标跟踪算法综述[J].电视技术,2010,34(12). |
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| 作者姓名： | 蔡荣太 吴元昊 王明佳 吴庆祥 |
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| 作者单位： | 福建师范大学物理与光电信息科技学院;中国科学院长春光学精密机械与物理研究所; |
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| 基金项目： | 国家"863"计划项目，福建省自然科学基金，福建省教育厅科技计划项目 |
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| 摘 要： | 介绍了视频目标跟踪算法及其研究进展,包括基于对比度分析的目标跟踪算法、基于匹配的目标跟踪算法和基于运动检测的目标跟踪算法.重点分析了目标跟踪中特征匹配、贝叶斯滤波、概率图模型和核方法的主要内容及最新进展.此外,还介绍了多特征跟踪、利用上下文信息的目标跟踪和多目标跟踪算法及其进展.
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| 关 键 词： | 目标跟踪 特征匹配 贝叶斯滤波 概率图模型 均值漂移 粒子滤波 |
Survey of Visual Object Tracking Algorithms |
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| CAI Rong-tai,WU Yuan-hao,WANG Ming-jia,WU Qing-xiang.Survey of Visual Object Tracking Algorithms[J].Tv Engineering,2010,34(12). |
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| Authors: | CAI Rong-tai WU Yuan-hao WANG Ming-jia WU Qing-xiang |
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| Affiliation: | CAI Rong-tai1,WU Yuan-hao2,WANG Ming-jia2,WU Qing-xiang1(1.School of Physics,Optics,Electronic Science and Technology,Fujian Normal University,Fuzhou 350108,China,2.Changchun Institute of Optics,Fine Mechanics and Physics,Chinese Academy of Science,Changchun 130033,China) |
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| Abstract: | The field of visual object tracking algorithms are introduced,including visual tracking based on contrast analysis,visual tracking based on feature matching and visual tracking based on moving detection.Feature matching,Bayesian filtering,probabilistic graphical models,kernel tracking and their recent developments are analyzed.The development of multiple cues based tracking,contexts based tracking and multi-target tracking are also discussed. |
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| Keywords: | visual tracking feature matching Bayesian filtering probabilistic graphical models mean shift particle filter |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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