| 基于强化学习的视频车辆跟踪 |
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| 引用本文： | 卞建勇,徐建闽,裴海龙.基于强化学习的视频车辆跟踪[J].华南理工大学学报(自然科学版),2008,36(10). |
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| 作者姓名： | 卞建勇 徐建闽 裴海龙 |
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| 作者单位： | 1. 华南理工大学,土木与交通学院,广东,广州,510640
2. 华南理工大学,自动化科学与工程学院,广东,广州,510640 |
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| 基金项目： | 国家"863"高技术计划项目，广州市科技计划项目 |
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| 摘 要： | 基于视频的车辆跟踪在交通监控领域有着重要的实用价值，强化学习是一种无监督的学习方法，具有搜索效率高的特性，将强化学习理论应用于视频车辆的跟踪，充分发挥了其搜索效率高的特性，实验结果表明基于强化学习的视频车辆跟踪，其跟踪情况稳定，跟踪准确率比较高，可以获得很好的跟踪效果。
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| 关 键 词： | 交通监控 强化学习 车辆跟踪 |
| 收稿时间： | 2007-10-8 |
| 修稿时间： | 2007-11-12 |
Video Vehicle Tracking based on Reinforcement Learning |
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| Bian Jian-yong,Xu Jian-min,Pei Hai-long.Video Vehicle Tracking based on Reinforcement Learning[J].Journal of South China University of Technology(Natural Science Edition),2008,36(10). |
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| Authors: | Bian Jian-yong Xu Jian-min Pei Hai-long |
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| Abstract: | In the area of vehicle surveillance, video vehicle tracking is very importantly. Reinforcement learning is an unsupervised learning algorithm, it has high-search-speed. This paper applied reinforcement learning theory to video vehicle tracking. Experimental results show that this localization method is efficient and could satisfied the tracking requirement of the vehicle surveillance system. |
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| Keywords: | vehicle surveillance reinforcement learning vehicle tracking |
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