• DocumentCode
    3660266
  • Title

    Region-based moving object detection using HU moments

  • Author

    Yinglong Shen;Peipei Liu;Fushi Yao;Yunyi Liu

  • Author_Institution
    School of Computer, Electronics and Information, Guangxi University, Nanning 530004, China
  • fYear
    2015
  • Firstpage
    1590
  • Lastpage
    1593
  • Abstract
    In this paper, a region-based moving object detection based on hu moments is concerned. Firstly, the feasibility analysis of hu moments in moving object detection is performed. Then a model of hu moments in moving object detection is presented and the performances are evaluated. The experiment results show that the hu moments can eliminate the large amount of noise caused by traditional Single Gaussian Model, and the hu moments with Single Gaussian Model work better than Gaussian Mixture Model.
  • Keywords
    "Object detection","Computational modeling","Adaptation models","Noise","Pattern recognition","Image color analysis","Conferences"
  • Publisher
    ieee
  • Conference_Titel
    Information and Automation, 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/ICInfA.2015.7279539
  • Filename
    7279539
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3660266