DocumentCode :
2293486
Title :
Real-time video surveillance for traffic monitoring using virtual line analysis
Author :
Tseng, Belle L. ; Lin, Ching-Yung ; Smith, John R.
Author_Institution :
IBM Thomas J. Watson Res. Center, Hawthorne, NY, USA
Volume :
2
fYear :
2002
fDate :
2002
Firstpage :
541
Abstract :
A real-time video surveillance is presented for traffic monitoring of vehicle volume on major highways. Determining traffic volume automatically and in real-time assists drivers to dynamically plan their trips more efficiently. Our traffic monitoring system uses the virtual line graph to facilitate the detection of vehicles, classification of vehicle types, tracking of individual vehicles, and subsequently an accurate count of the number of vehicles. The virtual line analyzer detects vehicles as they cross a virtual boundary. The goal of this traffic monitoring system is to provide a real-time and accurate vehicle counter while taking advantage of stationary Web-cams, fixed highways and lanes, and deterministic vehicle characteristics.
Keywords :
automated highways; automobiles; computerised monitoring; image classification; object detection; real-time systems; surveillance; tracking; video signal processing; ITS; Web-cams; deterministic vehicle characteristics; highways; intelligent transportation systems; real-time video surveillance; traffic monitoring system; vehicle classification; vehicle detection; vehicle tracking; virtual boundary; virtual line analysis; virtual line graph; Cameras; Computerized monitoring; Counting circuits; Detectors; Radar tracking; Road transportation; Road vehicles; Space vehicles; Vehicle detection; Video surveillance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo, 2002. ICME '02. Proceedings. 2002 IEEE International Conference on
Print_ISBN :
0-7803-7304-9
Type :
conf
DOI :
10.1109/ICME.2002.1035671
Filename :
1035671
Link To Document :
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