• DocumentCode
    3030101
  • Title

    The Goal Matching Algorithm Histogram-Based Color Correction and Space

  • Author

    Yang Jing ; Cao Shi

  • Author_Institution
    Xi´an Int. Univ., Xian, China
  • fYear
    2013
  • fDate
    29-30 June 2013
  • Firstpage
    1461
  • Lastpage
    1463
  • Abstract
    The goals match is one of the key issues that need to be resolved based on the multi-camera video surveillance system. The target match existing problems for current algorithms based on color features is proposed based on the histogram of the target color correction and spatial matching method. First color correction to remove the camera and light the influence of the environment on the target color of the sequence of images collected, after extracting the target space in the HSV space histogram and a similarity measure. Experimental results show that the proposed method is robust, light, body posture and perspective to achieve better target match.
  • Keywords
    feature extraction; image colour analysis; image matching; video cameras; video surveillance; HSV space histogram; color features; goal matching algorithm histogram-based color correction; goal matching algorithm histogram-based space; image sequence; multicamera video surveillance system; similarity measure; spatial matching method; target color correction histogram; target matching; target space extraction; Automation; Manufacturing; Multi-camera; color correction; goal match; space histogram;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Manufacturing and Automation (ICDMA), 2013 Fourth International Conference on
  • Conference_Location
    Qingdao
  • Type

    conf

  • DOI
    10.1109/ICDMA.2013.349
  • Filename
    6598273