| 基于视频的车辆发现模块的研究与实现 |
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| 引用本文： | 冯云鹏,张娜,马融.基于视频的车辆发现模块的研究与实现[J].计算机仿真,2012,29(2):367-371. |
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| 作者姓名： | 冯云鹏 张娜 马融 |
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| 作者单位： | 1. 大连东软信息学院计算机科学与技术系,辽宁大连,116023
2. 吉林大学计算机科学与技术学院,吉林长春,130021 |
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| 摘 要： | 针对现有的智能交通系统的车辆发现模块的不足,提出了车辆发现的一整套解决方案。综合使用了已有的视频处理技术及方法,背景差分法、帧间差分法、检测线方法,以及自适应边框的车辆精确定位等方法,设计实现了智能交通系统的车辆发现模块。设计了三种不同的真实场景的实验。通过对结果的分析表明,系统的车辆发现模块对于车辆的识别度高达90%以上,在一般的设备下流畅运行,能够满足车辆发现应用对系统的实时性的要求,并且适应性也较好。
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| 关 键 词： | 车辆检测 感兴趣区域 自适应边框 |
Research and Implementation of Video- based Vehicle Finding System |
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| FENG Yun-peng
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ZHANG Na
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MA Rong.Research and Implementation of Video- based Vehicle Finding System[J].Computer Simulation,2012,29(2):367-371. |
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| Authors: | FENG Yun-peng ZHANG Na MA Rong |
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| Affiliation: | 1.Department of Computer Science and Technology,Dalian Neusoft Institute of Information, Dalian Liaoning 116023,China; 2.Department of Computer Science and Technology,Jilin University,Changchun Jilin 116023,China) |
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| Abstract: | A set of solutions for vehicle finding module of intelligent transportation system was proposed.A vehicle finding system was designed and implemented by using the background difference method,the interframe difference method,the line-detection method,the accurate positioning vehicle method based on self-adaptation frame and other methods.Three experiments under different scenarios result in that the accuracy of the vehicle identification reaches up to 90%.The system can fluently run on common equipments,meet the real-time demand,and has good adaptability. |
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| Keywords: | Vehicle detection Interest area Self-adaptation frame |
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