Paper
17 February 1997 Traffic sensor using a color vision method
Alan C. Chachich, A. Pau, A. Barber, K. Kennedy, E. Olejniczak, J. Hackney, Q. Sun, E. Mireles
Author Affiliations +
Abstract
In order to support intelligent traffic management systems, future traffic sensors will need to provide more traffic variables, and more accurate data than provided by the commonly used sensors today. In particular, future systems will need to recognize vehicles from sensor to sensor in order to measure point-to-point traffic variables like travel time. One characteristic that may be used to match vehicles between sensors is color. This work describes a machine vision based traffic sensor under development that uses sophisticated color signatures as a key component.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Alan C. Chachich, A. Pau, A. Barber, K. Kennedy, E. Olejniczak, J. Hackney, Q. Sun, and E. Mireles "Traffic sensor using a color vision method", Proc. SPIE 2902, Transportation Sensors and Controls: Collision Avoidance, Traffic Management, and ITS, (17 February 1997); https://doi.org/10.1117/12.267141
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CITATIONS
Cited by 35 scholarly publications.
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KEYWORDS
Sensors

Cameras

Video

Machine vision

Algorithm development

Detection and tracking algorithms

RGB color model

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