• DocumentCode
    2370684
  • Title

    Research on vehicle tracking algorithm using Contourlet transform

  • Author

    Wu, Jian ; Cui, Zhiming ; Zhao, Pengpeng ; Chen, Jianming

  • Author_Institution
    Inst. of Intell. Inf. Process. & Applic., Soochow Univ., Suzhou, China
  • fYear
    2011
  • fDate
    5-7 Oct. 2011
  • Firstpage
    1267
  • Lastpage
    1272
  • Abstract
    Vehicle tracking is a very important part of ITS and become a hot research field at home and abroad. In this paper, according to the multi-scales and multi-resolution analysis of Contourlet transform, put forward a video vehicle tracking algorithm based on the Contourlet transform. At first, according to the fixed characteristics of traffic video monitoring camera. we get the ideal vehicle target and the circum-rectangle with the method of reducing background, then, using Contourlet transform for the area of vehicle, we get the son of spectrum data in video vehicles. At last, realize video vehicle target tracking based on the vehicle image similarity measure and linear forecasting. Experiments show that this algorithm with higher tracking accuracy and better real-time.
  • Keywords
    image resolution; target tracking; traffic engineering computing; transforms; vehicles; video signal processing; Contourlet transform; ITS; linear forecasting; multiresolution analysis; multiscale analysis; traffic video monitoring camera; vehicle tracking algorithm; video vehicles; Feature extraction; Filter banks; Monitoring; Target tracking; Transforms; Vectors; Vehicles; Contourlet transform; motion prediction; texture feature; vehicle tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation Systems (ITSC), 2011 14th International IEEE Conference on
  • Conference_Location
    Washington, DC
  • ISSN
    2153-0009
  • Print_ISBN
    978-1-4577-2198-4
  • Type

    conf

  • DOI
    10.1109/ITSC.2011.6083054
  • Filename
    6083054