• DocumentCode
    3343473
  • Title

    Video Vehicle Detection Algorithm through Spatio-Temporal Slices Processing

  • Author

    Anan, Liu ; Zhaoxuan, Yang

  • Author_Institution
    Dept. of Electron. Inf. Eng., Tianjin Univ.
  • fYear
    2006
  • fDate
    Aug. 2006
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper presents new approaches in video vehicle detection. These approaches are developed based upon the pattern analysis of spatio-temporal slices. While traditional approaches to video vehicle detection tend to formulate computational methodologies on the single frame, spatio-temporal slices provide rich information along a larger spatial and temporal scale to improve the precision of vehicle detection. The experiment results demonstrate that the algorithm is real-time, accurate and robust
  • Keywords
    image recognition; traffic engineering computing; video signal processing; pattern analysis; spatio-temporal slices processing; video vehicle detection; Communication system traffic control; Data mining; Layout; Linear feedback control systems; Pattern analysis; Pixel; Robustness; Sociotechnical systems; Vehicle detection; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronic and Embedded Systems and Applications, Proceedings of the 2nd IEEE/ASME International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-9721-5
  • Type

    conf

  • DOI
    10.1109/MESA.2006.296980
  • Filename
    4077807