• DocumentCode
    3127262
  • Title

    Research on recognition of motional vehicle based on second-difference algorithm

  • Author

    Huang Jinying ; Hu Huizhen ; Liu Xiujin ; Liu Lijun

  • Author_Institution
    Sch. of Mech. Eng. & Automatization, North Univ. of China, Taiyuan, China
  • fYear
    2009
  • fDate
    5-8 July 2009
  • Firstpage
    292
  • Lastpage
    296
  • Abstract
    Location detection method based on vision of motional vehicle is studied in this paper. Conventional method is frame difference method, which is realized by contrasting the different of sequential two frames of vehicle image, and which is easy to detect the background of current frame sheltered by previous frame. Second-difference algorithm is improved in the text, which is the improved algorithm of frame-difference method. Second-difference algorithm locates the motional vehicle in the middle frame relying on the difference among three sequential images. It makes difference operation between two sequential frames and makes difference operation again between two sequential difference images. At last, the results of second- difference are converted to binary for vehicle detection and location. Experimental results show that second-difference algorithm can identify the motional vehicle efficiency and accuracy.
  • Keywords
    image motion analysis; image sequences; object detection; object recognition; traffic engineering computing; background detection; frame-difference method; intelligent transportation system; intelligent vehicle system; location detection method; motional vehicle recognition; second-difference algorithm; sequential difference images; vehicle detection; Image processing; Image sequences; Intelligent sensors; Intelligent transportation systems; Intelligent vehicles; Machine vision; Motion detection; Road vehicles; Shape; Vehicle detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, 2009. ISIE 2009. IEEE International Symposium on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4244-4347-5
  • Electronic_ISBN
    978-1-4244-4349-9
  • Type

    conf

  • DOI
    10.1109/ISIE.2009.5218896
  • Filename
    5218896