• DocumentCode
    2505446
  • Title

    A Method Based on the Indirect Approach for Counting People in Crowded Scenes

  • Author

    Conte, D. ; Foggia, P. ; Percannella, G. ; Vento, M.

  • Author_Institution
    Dipt. di Ing. dell´´Inf. ed Ing. Elettr., Fisciano, Italy
  • fYear
    2010
  • fDate
    Aug. 29 2010-Sept. 1 2010
  • Firstpage
    111
  • Lastpage
    118
  • Abstract
    This paper presents a method for counting people in a scene by establishing a mapping between some scene features and the number of people avoiding the complex foreground detection problem. The method is based on the use of SURF features and of an ∈-SVR regressor to provide an estimate of this count. The algorithm takes specifically into account problems due to partial occlusions and to perspective.
  • Keywords
    feature extraction; object detection; regression analysis; support vector machines; SURF feature; SVR regressor; complex foreground detection; counting people; crowded scene; scene feature mapping; Cameras; Clustering algorithms; Detectors; Estimation; Feature extraction; Image edge detection; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Video and Signal Based Surveillance (AVSS), 2010 Seventh IEEE International Conference on
  • Conference_Location
    Boston, MA
  • Print_ISBN
    978-1-4244-8310-5
  • Type

    conf

  • DOI
    10.1109/AVSS.2010.86
  • Filename
    5597325
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2505446