Computer Science ›› 2020, Vol. 47 ›› Issue (10): 174-179.doi: 10.11896/jsjkx.190800014

• Computer Graphics & Multimedia • Previous Articles     Next Articles

Method for Traffic Video Background Modeling Based on Inter-frame Difference and Statistical Histogram

WANG Qia, QI Yong   

  1. School of Computer Science and Engineering,Nanjing University of Science and Technology,Nanjing 210094,China
  • Received:2019-08-02 Revised:2019-10-08 Online:2020-10-15 Published:2020-10-16
  • About author:WANG Qia,born in 1995,postgraduate.His main research interests include image processing and video surveillance.
    QI Yong,born in 1970,Ph.D,professor,Ph.D supervisor,is a member of China Computer Federation.His main research interests include traffic big data and machine learning.
  • Supported by:
    National Key Research and Development Program Intergovernmental Key Items for International Science and Technology Innovation Cooperation of China(2016YFE0108000) and Key Research and Development Program of Jiangsu Province, China(Industry Prospects and Common Key Technologies)(BE2017163)

Abstract: Aiming at the problem of inaccurate foreground object detection caused by the difficulty of extracting traffic background directly from urban road traffic video,a method for traffic video background modeling based on the combination of inter-frame difference and statistical histogram is proposed.A good background modeling method is conducive to the smooth development of subsequent object detecting and tracking tasks.Firstly,it uses inter-frame difference method to extract the approximate motion region of each frame in the video as the foreground moving object.Then,it uses statistical histogram to obtain the gray value distribution state of the image and estimates the background image,thereby a background image with high cleanliness and low noise points is extracted.Compared with the existing background modeling method,the experimental results show that the proposed method can extract the background image with higher matching degree with the real background,both in the ordinary traffic scenes and the typical traffic scene where vehicles are moving slowly.

Key words: Background modeling, Inter-frame difference, Statistical histogram, Traffic video

CLC Number: 

  • TP391
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