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题名: An Method for Vehicle-Flow Detection and Tracking in Real-Time Based on Gaussian Mixture Distribution
作者: Zhang, Ronghui; Ge, Pingshu; Zhou, Xi; Jiang, Tonghai; Wang, Rongben
刊名: ADVANCES IN MECHANICAL ENGINEERING
发表日期: 2013
DOI: 10.1155/2013/861321
卷: 2013, 期:11, 页:1-8
收录类别: SCI
摘要: Vehicle-flow detection and tracking by digital image are one of the most important technologies in the traffic monitoring system. Gaussian mixture distribution method is used to eliminate the influence of moving vehicle firstly in this text, and then we built the background images for vehicle flow. Combining the advantages of background difference algorithm with inter frame difference operator, the real-time background is segmented integrally and dynamically updated accurately by matching the reconstructed image with current background. In order to ensure the robustness of vehicle detection, three by three window templates are adopted to remove the isolated noise spot in the image of vehicle contour. The template structural element is used to do some graphical morphological filtering. So, the corrosion and expansion sets are obtained. To narrow the target search scope and improve the calculation speed and precision of the algorithm, Kalman filtering model is used to realize the tracking of fast moving vehicles. Experimental results show that the method has good real-time and reliable performance.
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内容类型: 期刊论文
URI标识: http://ir.xjipc.cas.cn/handle/365002/3905
Appears in Collections:多语种信息技术研究室_期刊论文

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作者单位: Chinese Acad Sci, Xinjiang Tech Inst Phys & Chem, Xinjiang 830011, Peoples R China;Dalian Nationalities Univ, Coll Electromech & Informat Engn, Dalian 116024, Peoples R China;Jilin Univ, Coll Transportat, Changchun 130022, Peoples R China

Recommended Citation:
Zhang, Ronghui,Ge, Pingshu,Zhou, Xi,et al. An Method for Vehicle-Flow Detection and Tracking in Real-Time Based on Gaussian Mixture Distribution[J]. ADVANCES IN MECHANICAL ENGINEERING,2013,2013(11):1-8.
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文件名: An Method for Vehicle-Flow Detection and Tracking in Real-Time Based on Gaussian Mixture Distribution .pdf
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