• DocumentCode
    1806694
  • Title

    Abnormality analysis for densely-populated public places based on Bayesian inference forecasting

  • Author

    Qinglan Ma ; Chao Qi

  • Author_Institution
    Institute of Systems Engineering, Key Laboratory of Image Processing and Intelligent, Control of Ministry of Education, Huazhong University of Science and Technology, Wuhan Hubei 430074, China
  • fYear
    2013
  • fDate
    1-8 Jan. 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Gathering is an important sign of social security event in public places. Timely detection of abnormal gathering contributes to effective warning, thereby avoiding the occurrence of serious events. In this paper, we identify abnormal situation according to a reasonable safe range based on people flow characteristics of public places. We employ Bayesian inference forecasting approach to cope with emergency forecasting and early warning.
  • Keywords
    Bayes methods; Forecasting; Gaussian distribution; Security; Video surveillance; Weather forecasting; Bayesian inference forecasting; early warning; social security event;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Conference Anthology, IEEE
  • Conference_Location
    China
  • Type

    conf

  • DOI
    10.1109/ANTHOLOGY.2013.6785017
  • Filename
    6785017
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1806694