DocumentCode :
2557547
Title :
Automated measurement of crowd density and motion using image processing
Author :
Velastin, S.A. ; Yin, J.H. ; Davies, A.C. ; Vicencio-Silva, M.A. ; Allsop, R.E. ; Penn, A.
Author_Institution :
King´´s Coll., London, UK
fYear :
1994
fDate :
26-28 Apr 1994
Firstpage :
127
Lastpage :
132
Abstract :
Some image processing techniques applicable to the measurement of density and motion in crowded scenes have been presented. These give results comparable to human observers with potential for real-time implementation. A useful characteristic of these techniques is their independence from the apparent shape of individual pedestrians. Detailed studies of site usage and real-time monitoring then become feasible
Keywords :
computer vision; computerised monitoring; motion estimation; real-time systems; road traffic; traffic control; traffic engineering computing; automated crowd density measurement; crowd motion measurement; crowded scenes; image processing; pedestrian monitoring; real-time monitoring;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Road Traffic Monitoring and Control, 1994., Seventh International Conference on
Conference_Location :
London
Type :
conf
DOI :
10.1049/cp:19940440
Filename :
385783
Link To Document :
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