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Proceedings Paper

Sensor-fusion-based approach for feature extraction in intelligent transportation system applications
Author(s): Ernest A. Franke; E. Sterling Kinkler; Michael Magee
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Paper Abstract

The ability to extract useful and robust features from sensor data of vehicles in moving traffic is highly dependent on a number of factors. For imaging sensors that produce a two- dimensional representation of an observed scene such as a visible light camera, the principal factors influencing the quality of the acquired data include the ambient lighting and weather conditions as well the physical characteristics of the vehicles whose images are captured. Considerable variability in the ambient lighting conditions in combination with material characteristics may cause radically different appearances for various surfaces of a vehicle when viewed in the visible wavelengths. Infrared sensors, on the other hand, produce images that are far less sensitive to variations in ambient lighting conditions, but may not provide sufficient information that can be used to discriminate among vehicles. Combining information from these sensors provides the basis for exploiting the relative strengths of each sensor domain while attenuating the weaknesses that exist in single systems. This paper presents a basic framework for combining information from multiple sensor systems by describing methodologies for geometrically transforming between image spaces and extracting features using a multi-dimensional approach that exploits information gathered at different wavelengths. The potential use of point sensors (such as acoustic and microwave detectors) in combination with imaging sensors is also discussed.

Paper Details

Date Published: 18 October 1999
PDF: 13 pages
Proc. SPIE 3808, Applications of Digital Image Processing XXII, (18 October 1999); doi: 10.1117/12.365861
Show Author Affiliations
Ernest A. Franke, Southwest Research Institute (United States)
E. Sterling Kinkler, Southwest Research Institute (United States)
Michael Magee, Southwest Research Institute (United States)


Published in SPIE Proceedings Vol. 3808:
Applications of Digital Image Processing XXII
Andrew G. Tescher, Editor(s)

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