吉林大学学报(工学版) ›› 2011, Vol. 41 ›› Issue (增刊1): 76-80.

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Recombination algorithm for mixed traffic flow foreground Abstracting

JIANG Sheng1, WANG Dian-hai1,2, ZHAO Ying-ying1, WEI Wei1   

  1. 1. College of Transportation, Jilin University, Changchun 130022, China;
    2. College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China
  • Received:2010-05-10 Online:2011-09-01 Published:2011-09-01

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Abstract:

According to the characteristics of mixed traffic flow traffic video detection,depending on the advantages of background difference method and edge information extraction method,the recombination algorithm,which is used to extract the mixed flow parameters was established.Depending on both the foreground number information provided by background difference method and the edge information gained by edge detection,the recombination algorithm merges them to obtain the real foreground information.The experimental results show that this algorithm can obtain mixed flow information more effectively and provide mixed flow prospect information traffic parameters more exactly.

Key words: engineering of communicutions and transpotation system, mixed traffic flow, foreground extraction, recombination algorithm, information fusion

CLC Number: 

  • TP391


[1] 赵熠。基于图像处理的混合交通流行人和非机动车数据采集理论与方法
[D].北京:北京交通大学交通运输学院,2008. Zhao Yi.Theory and methodology of mixed trafficd at acollection for pedestrians and cyclists based on image processing
[D].Beijing:School of Traffic and Transportation,Beijing Jiaotong University,2008.

[2] 屈有山,田维坚,李英才。基于并行隔帧差分光流场与灰度分析综合算法的运动目标检测
[J].光子学报,2003,32(2):182-185. Qu You-shan,Tian Wei-jian,Li Ying-cai.The moving target detecting based on the parallelable discontinuous frame difference optical flow field integrated with gray intensity analysis
[J].Acta Photonica Sinica,2003,32(2):182-185.

[3] 苏书杰。视频检测系统中的背景检测及更新算法研究
[D].西安:长安大学信息工程学院,2009.Su Shu-jie.Study on background estimation and updating used in video detection system
[D].Xi'an:S chool of Information Engineering,Chang'an Uni-versity,2009.

[4] 王博,潘泉,张洪才。图像平滑与边缘检测的模糊向量描述
[J].小型微型计算机系统,1999,20(3):218-221. Wang Bo,Pan Quan,Zhang Hong-cai.The decriptiono f image filtering and edge detecting with fuzzy vector
[J].Mini-micro Systems,1999,20(3):218-221.

[5] Stauffer C,Grimson W E L.Adaptive backgroundm ixture models for real-time tracking
[C] ∥Computer Vision and Pattern Recognition,1999.IEEE Computer Society Conference,1999.

[6] 曲昭伟。混合交通视频检测算法研究
[D].长春:吉林大学交通学院,1999. Qu Zhao-wei.Research on video detection algorithmsi n mixed traffic
[D].Changchun:College of Transportation,Jilin University,1999.

[7] 李志慧,劳云腾,王殿海,等。混合交通流视频检测中区域选择更新混合高斯背景模型研究
[J].ITS通讯,2005(2):25-27. Li Zhi-hui,Lao Yun-teng,Wang Dian-hai,et al.Research region selective update mixture gaussianb ackground model in hybrid traffic flow video detection process
[J] Intelligent Transportation System, 2005(2):25-27.

[8] 李志慧,张长海,曲昭伟,等。交通流视频检测中背景模型与阴影检测算法
[J].吉林大学学报:工学版, 2006,36(6):993-997. Li Zhi-hui,Zhang Chang-hai,Qu Zhao-wei,et al.B ackground extraction model and shadow detectional gorithm in traffic flow video detection
[J].Journal of Jilin University(Engineering and Technology Edition),2006,36(6):993-997.
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