DocumentCode :
1869730
Title :
Multi-camera Based Traffic Flow Characterization & Classification
Author :
Khoshabeh, Ramsin ; Gandhi, Tarak ; Trivedi, Mohan M.
Author_Institution :
California Univ. San Diego, La Jolla
fYear :
2007
fDate :
Sept. 30 2007-Oct. 3 2007
Firstpage :
259
Lastpage :
264
Abstract :
We describe a system that employs the use of an omnidirectional camera in tandem with a pan-tilt-zoom (PTZ) camera in order to characterize traffic flows, analyze vehicles, and detect and capture anomalous behaviors. The framework is such that we can generate long-term statistics of traffic patterns while still monitoring unusual activity, even apart from the traffic zone. We use the PTZ in conjunction with the omni camera in order to perform classification analysis at coarse and fine levels. The omni performs the coarse classification and using information from that camera, the PTZ is able to perform refined classifications while actively moving throughout the scene.
Keywords :
cameras; image classification; monitoring; traffic engineering computing; video signal processing; anomalous behaviors detection; multicamera; omnidirectional camera; pan-tilt-zoom camera; traffic flow characterization; traffic flow classification; traffic patterns statistics; unusual activity monitoring; vehicle analysis; Information analysis; Intelligent transportation systems; Layout; Monitoring; Performance analysis; Roads; Smart cameras; Statistics; Vehicle detection; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Transportation Systems Conference, 2007. ITSC 2007. IEEE
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4244-1396-6
Electronic_ISBN :
978-1-4244-1396-6
Type :
conf
DOI :
10.1109/ITSC.2007.4357750
Filename :
4357750
Link To Document :
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