• DocumentCode
    2641056
  • Title

    Track-Based Finding of Stopping Pedestrians - A Practical Approach for Analyzing a Public Infrastructure

  • Author

    Brandle, Norbert ; Bauer, Dietmar ; Seer, Stefan

  • Author_Institution
    Arsenal Res., Giefingg, Wien
  • fYear
    2006
  • fDate
    17-20 Sept. 2006
  • Firstpage
    115
  • Lastpage
    120
  • Abstract
    We present a case study for obtaining and analyzing long-term pedestrian track data within a large hall of an Austrian railway station, where no CCTV surveillance system was pre-installed. Hence one focus of this paper concerns practical aspects for selecting and strategically placing a high-quality multi-camera system for recording long-term video data for off-line analysis. The pedestrian tracks are obtained by applying a state-of-the art vision-based multiple human tracking software program. The focus of the track analysis is the detection of places where people stop frequently or walk slowly, respectively. We present the applied methodology and discuss the main results
  • Keywords
    computer vision; data analysis; railways; tracking; traffic engineering computing; Austrian railway station; multicamera system; pedestrian track data analysis; public infrastructure analysis; video data recording; vision-based multiple human tracking software; Art; Counting circuits; Displays; Floors; Glass; Humans; Intelligent transportation systems; Rail transportation; Video recording; Video surveillance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation Systems Conference, 2006. ITSC '06. IEEE
  • Conference_Location
    Toronto, Ont.
  • Print_ISBN
    1-4244-0093-7
  • Electronic_ISBN
    1-4244-0094-5
  • Type

    conf

  • DOI
    10.1109/ITSC.2006.1706728
  • Filename
    1706728