Paper
15 February 2012 Survey of computer vision in roadway transportation systems
Natesh Manikoth, Robert Loce, Edgar Bernal, Wencheng Wu
Author Affiliations +
Proceedings Volume 8305, Visual Information Processing and Communication III; 83050W (2012) https://doi.org/10.1117/12.912116
Event: IS&T/SPIE Electronic Imaging, 2012, Burlingame, California, United States
Abstract
There is a world-wide 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 conference presentation and publication is brief introduction to the field, and will be followed by an in-depth journal paper that provides more details on the imaging systems and algorithms.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Natesh Manikoth, Robert Loce, Edgar Bernal, and Wencheng Wu "Survey of computer vision in roadway transportation systems", Proc. SPIE 8305, Visual Information Processing and Communication III, 83050W (15 February 2012); https://doi.org/10.1117/12.912116
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Cited by 1 scholarly publication.
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KEYWORDS
Roads

Cameras

Computer vision technology

Machine vision

Computing systems

Surveillance

Video

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