混合交通特征表达及快速检测算法

›› 2012, Vol. ›› Issue (06): 1459-1464.

混合交通特征表达及快速检测算法

江晟¹, 王殿海^2,1, 赵莹莹¹, 胡宏宇¹

1. 吉林大学交通学院, 长春 130022;
2. 浙江大学建筑工程学院, 杭州 310058

收稿日期:2012-01-11 出版日期:2012-11-01
通讯作者: 王殿海(1962-),男,教授,博士生导师.研究方向:交通流理论,交通控制.E-mail:wangdianhai@sohu.com E-mail:wangdianhai@sohu.com
基金资助:
"863"国家高技术研究发展计划项目(2009AA11Z210);国家自然科学基金项目(50808092).

Feature characterization and rapid detection algorithm of hybrid traffic

JIANG Sheng¹, WANG Dian-hai^2,1, ZHAO Ying-ying¹, HU Hong-yu¹

1. College of Transportation, Jilin University, Changchun 130022, China;
2. College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China

Received:2012-01-11 Online:2012-11-01

摘要/Abstract

摘要： 针对混合交通特征表达和分类识别的问题,提出了基于边缘偏心率向量的混合交通视频检测算法。将利用上下文比对获取的边缘信息与图像重心相结合构建混合交通的边缘偏心率向量,对混合交通前景进行了特征表达。再结合极限学习机建立了快速学习机制,实现了快速分类识别,克服了采用支持向量机训练难以达到实时检测的问题。试验结果表明:本文算法中各个类别的混合交通边缘偏心率特征区分明显,识别准确率可达93%以上,且处理速度快,能够满足实时检测的需求。

关键词: 交通运输系统工程, 混合交通, 特征表达, 边缘偏心率向量, 极限学习机

Abstract: A vision frequency detection algorithm was proposed based on the eccentric rate vector of the edge information to deal with the feature characterization as well as classification and identification of the hybrid traffic. Utilizing the edge information extracted by the spatial-temporal context and the image highlights, an eccentric rate vector was built to characterize the features of the hybrid traffic. An extreme learning machine was used to establish a fast learning mechanism to achieve the rapid classification and identification, solving the problem that the support vector machine is difficult to achieve the real-time detection. The experiment results showed that the edge eccentric rate vector features of the hybrid traffic are distinct, the identification accuracy is above 93% while the calculation is rapid enough to meet the requirement of real-time detection.

Key words: engineering of communication and transportation system, hybrid traffic, feature characterization, edge eccentric rate vector, extreme learning machine

中图分类号:

TP391

江晟, 王殿海, 赵莹莹, 胡宏宇. 混合交通特征表达及快速检测算法[J]. , 2012, (06): 1459-1464.

JIANG Sheng, WANG Dian-hai, ZHAO Ying-ying, HU Hong-yu. Feature characterization and rapid detection algorithm of hybrid traffic[J]. , 2012, (06): 1459-1464.

参考文献

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