DocumentCode :
3513097
Title :
Imaging and analysis of traffic scene
Author :
Aoki, Masayoshi
Author_Institution :
Dept. of Electr. Eng. & Electron., Seikei Univ., Tokyo, Japan
Volume :
4
fYear :
1999
fDate :
1999
Firstpage :
1
Abstract :
Image processing plays an important role in ITS. Since a traffic environment heavily depends on visual information, machine vision is a must in ITS. There are many active research and development programs applying image technologies for ITS. First of all, we need a good and clear image as an input to obtain better image processing results. For this purpose, resolution and dynamic range of an imaging device should be improved. Infrared and microwave imaging are attractive. A depth map from laser radar or microwave radar could be treated as an input to image processing. There are many applications for image processing in ITS. Typical on-board applications are: lane marker detection, obstacle detection, proximity vehicle detection, traffic signal/sign recognition, road surface monitoring, driver monitoring, etc. Roadside applications are traffic surveillance (traffic flow, travel time), incident/accident detection, license number recognition (ETC, parking lot) and parking lot surveillance
Keywords :
automated highways; computer vision; image recognition; accident detection; driver monitoring; image processing; imaging device; infrared imaging; lane marker detection; laser radar; license number recognition; machine vision; microwave imaging; microwave radar; obstacle detection; parking lot surveillance; proximity vehicle detection; research and development; road surface monitoring; traffic scene analysis; traffic signal recognition; traffic surveillance; Image analysis; Image processing; Laser radar; Layout; Microwave devices; Microwave imaging; Optical imaging; Radar detection; Radar imaging; Vehicle detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-5467-2
Type :
conf
DOI :
10.1109/ICIP.1999.819455
Filename :
819455
Link To Document :
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