Chapter
Apr 26, 2012
A New Method of Precise Self-Adaptive Automatic Exposure Control for Camera in Intellegent Transportation Systems
Authors: Bang-Ping Wang [email protected], Zhi-Sheng You [email protected], Xin-Rong Jiang [email protected], Yi-Jun Xiao [email protected], and Xiao-Chun LuAuthor Affiliations
Publication: International Conference on Transportation Engineering 2007
Abstract
In modern ITS, the precise recognition of vehicle information depends upon quality of images captured by camera. According to the changing of environment lighting condition, self-adaptive automatic exposure compensation control for camera is one of key elements to capture high quality images. This paper proposes Image Projection Information Model (IPIM). We can classify images and evaluate quality of images based on IPIM joined with vehicle and background of image average luminance level. According to the classification of images and evaluation of images quality, this paper presents a method of self-adaptive automatic exposure compensation control for camera.
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Information
Published In
International Conference on Transportation Engineering 2007
Pages: 1879 - 1884
Copyright
© 2007 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
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ASCE Technical Topics:
- Automated transit systems
- Automation and robotics
- Business management
- Cameras
- Computing in civil engineering
- Construction engineering
- Construction management
- Engineering fundamentals
- Equipment and machinery
- Highway transportation
- Information Technology (IT)
- Infrastructure
- Management methods
- Practice and Profession
- Project management
- Public transportation
- Quality control
- Systems engineering
- Transportation engineering
- Vehicles
Authors
Affiliations
Institute of Image & Graphics, College of Computer, Sichuan University, Chengdu, China 610064. E-mail: [email protected]
Institute of Image & Graphics, College of Computer, Sichuan University, Chengdu, China 610064. E-mail: [email protected]
Institute of Image & Graphics, College of Computer, Sichuan University, Chengdu, China 610064. E-mail: [email protected]
Institute of Image & Graphics, College of Computer, Sichuan University, Chengdu, China 610064. E-mail: [email protected]
Xiao-Chun Lu
Institute of Image & Graphics, College of Computer, Sichuan University, Chengdu, China 610064
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