DocumentCode :
2486875
Title :
Real Time Recogniton and Tracking System of Multiple Vehicles
Author :
Chiu, Chung-Cheng ; Wang, Chun-Yi ; Ku, Min-Yu ; Lu, Yi-Bin
Author_Institution :
Dept. of Electr. Eng., Nat. Defense Univ., Taoyuan
fYear :
0
fDate :
0-0 0
Firstpage :
478
Lastpage :
483
Abstract :
This paper proposed a real-time system to recognize and track multiple vehicles. The occlusion problem is solved by the occlusion segmentation method and then each vehicle is recognized according to their outlines and tracked by a tracking algorithm. The proposed recognition method uses the visual length, visual width, roof, windshield, and hood of vehicles to classify the vehicles to vans, utility vehicles, sedans, mini trucks, or large vehicles. Experiments obtained by using complex road scenes are reported, which demonstrate the validity of the method in terms of robustness, accuracy, and time responses
Keywords :
automated highways; computer graphics; image recognition; image segmentation; real-time systems; road vehicles; complex road scenes; multiple vehicles; occlusion segmentation; real time recognition; tracking algorithm; tracking system; Intelligent vehicles; Real time systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Vehicles Symposium, 2006 IEEE
Conference_Location :
Tokyo
Print_ISBN :
4-901122-86-X
Type :
conf
DOI :
10.1109/IVS.2006.1689674
Filename :
1689674
Link To Document :
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