• DocumentCode
    2467772
  • Title

    Robust localisation of pedestrians with cast shadows using homology in a monocular view

  • Author

    Xu, Ming ; Jia, Tianyuan ; Lu, Lei ; Smith, Jeremy S.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Xi´´an Jiaotong-Liverpool Univ., Suzhou, China
  • fYear
    2012
  • fDate
    14-17 Oct. 2012
  • Firstpage
    1142
  • Lastpage
    1146
  • Abstract
    In this paper an object detection algorithm is proposed, which is robust in the presence of cast shadows and is based on geometric projections. The novelty of the work lies in the use of homology mapping of the foreground regions between different parallel planes within a monocular view, unlike some existing algorithms which depend on the use of multiple cameras. The results on an open video dataset are provided.
  • Keywords
    geometry; object detection; video signal processing; video surveillance; cast shadow; geometric projection; homology mapping; monocular view; object detection algorithm; open video dataset; robust pedestrian localisation; video surveillance; Cameras; Educational institutions; Foot; Hafnium; Head; Histograms; Robustness; homography; motion detection; video surveillance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics (SMC), 2012 IEEE International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4673-1713-9
  • Electronic_ISBN
    978-1-4673-1712-2
  • Type

    conf

  • DOI
    10.1109/ICSMC.2012.6377885
  • Filename
    6377885