• DocumentCode
    1798548
  • Title

    Algorithm of moving target detection based on multiply connected domain mergence

  • Author

    Yang Xu ; Jianrong Cao ; Zhenyu Li

  • Author_Institution
    Shandong Jianzhu Univ., Jinan, China
  • fYear
    2014
  • fDate
    7-9 July 2014
  • Firstpage
    124
  • Lastpage
    128
  • Abstract
    Some surveillance videos have the drawbacks of low light, low resolution and low contrast and it is difficult to obtain the better detect results using the traditional target detection algorithm. Aiming at this problem, an algorithm of multiply connected domain mergence based on the features of spatial distribution has been presented. The Vibe background modeling algorithm is utilized to achieve the primary segmentation and then the spatial relationships of the connected domains are analyzed and the different connected domains which belong to one target are merged. Experimental results show that the holes and splits produced by the Vibe moving target detecting algorithm have been corrected and the more accurate detect results have be obtained.
  • Keywords
    object detection; video surveillance; connected domain mergence; moving target detection algorithm; primary segmentation; spatial distribution features; vibe background modeling algorithm; videos surveillance; Adaptation models; Algorithm design and analysis; Computational modeling; Image segmentation; Object detection; Surveillance; Videos; connected domain mergence; surveillance video; vibe algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Audio, Language and Image Processing (ICALIP), 2014 International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4799-3902-2
  • Type

    conf

  • DOI
    10.1109/ICALIP.2014.7009770
  • Filename
    7009770