| 复杂背景下运动目标的实时跟踪 |
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| 引用本文： | 王健,张桂林. 复杂背景下运动目标的实时跟踪[J]. 计算机与数字工程, 2005, 33(11): 18-21 |
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| 作者姓名： | 王健 张桂林 |
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| 作者单位： | 华中科技大学图像所信息处理与智能控制教育部重点实验室,武汉,430074;华中科技大学图像所信息处理与智能控制教育部重点实验室,武汉,430074 |
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| 摘 要： | 复杂背景下的实时目标跟踪是计算机视觉领域的热点问题。提出了一种融合均值平移和粒子滤波的方法。综合了二者的效率和可靠性等优点。实验结果表明，该融合算法在复杂背景下的跟踪具有较好的实时性和可靠性。
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| 关 键 词： | 粒子滤波 均值平移 重要密度 贝叶斯 颜色分布 |
| 收稿时间： | 2005-04-06 |
| 修稿时间： | 2005-04-06 |
Real-time Tracking of Moving Target in the Complex Background |
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| Wang Jian,Zhang Guilin. Real-time Tracking of Moving Target in the Complex Background[J]. Computer and Digital Engineering, 2005, 33(11): 18-21 |
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| Authors: | Wang Jian Zhang Guilin |
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| Affiliation: | State Key Laboratory of Education Ministry for Image Processing and Intelligent Control, Inst for Pattern Recognition and Artificial Intelligence,HUST,Wuhan 430074 |
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| Abstract: | Real- time tracking of moving target in the complex background receives attention in computer vision application. The article presents a fusion method that combines mean shift and particle filter. It also integrates the efficiency and robust excellence of the two methods. Finally experimental results show the real - time and reliability of robust tracking of the fusion method in complex background. |
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| Keywords: | particle filter mean shift importance density Bayesian color distributing |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
