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Journal of Electronic Imaging • Open Access

Computer vision in roadway transportation systems: a survey

Paper Abstract

There is a worldwide effort to apply 21st century intelligence to evolving our transportation networks. The goals of smart transportation networks are quite noble and manifold, including safety, efficiency, law enforcement, energy conservation, and emission reduction. Computer vision is playing a key role in this transportation evolution. Video imaging scientists are providing intelligent sensing and processing technologies for a wide variety of applications and services. There are many interesting technical challenges including imaging under a variety of environmental and illumination conditions, data overload, recognition and tracking of objects at high speed, distributed network sensing and processing, energy sources, as well as legal concerns. This paper presents a survey of computer vision techniques related to three key problems in the transportation domain: safety, efficiency, and security and law enforcement. A broad review of the literature is complemented by detailed treatment of a few selected algorithms and systems that the authors believe represent the state-of-the-art.

Paper Details

Date Published: 17 December 2013
PDF: 24 pages
J. Electron. Imaging. 22(4) 041121 doi: 10.1117/1.JEI.22.4.041121
Published in: Journal of Electronic Imaging Volume 22, Issue 4
Show Author Affiliations
Robert P. Loce, Xerox Corp. (United States)
Edgar A. Bernal, Xerox Corp. (United States)
Wencheng Wu, Xerox Corp. (United States)
Raja Bala, Xerox Corp. (United States)

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