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
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;
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
DOI :
10.1109/ITSC.2006.1706728