• DocumentCode
    633931
  • Title

    An improved moving objects detection algorithm

  • Author

    Liu Gang ; Ning Shangkun ; You Yugan ; Wen Guanglei ; Zheng Siguo

  • Author_Institution
    Autom. Eng. Inst., Shanghai Univ. of Electr. Power, Shanghai, China
  • fYear
    2013
  • fDate
    14-17 July 2013
  • Firstpage
    96
  • Lastpage
    102
  • Abstract
    Moving target detection is an important part of video target tracking. Good moving target detection makes video track more effective. This paper proposes a new algorithm based on the traditional three-frame differential method comparison. The shortage of traditional three-frame differential method is pointed out. Combined with Canny edge detection algorithm, the improved three frame differential algorithm makes moving target detected containing more complete information. This new algorithm takes advantage of good performances of three-frame-difference method and background subtraction method adequately. The proposed method is simple and experimental results show that it can accurately detect moving targets.
  • Keywords
    edge detection; image motion analysis; image sequences; object detection; video signal processing; Canny edge detection algorithm; moving object detection algorithm; moving target detection; three-frame differential method; video target tracking; Abstracts; Companies; Tracking; Canny edge detection; Moving object detection; Three-frame differential;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wavelet Analysis and Pattern Recognition (ICWAPR), 2013 International Conference on
  • Conference_Location
    Tianjin
  • ISSN
    2158-5695
  • Print_ISBN
    978-1-4799-0415-0
  • Type

    conf

  • DOI
    10.1109/ICWAPR.2013.6599299
  • Filename
    6599299