Sensor-fusion-based approach for feature extraction in intelligent transportation system applications

Ernest A. Franke; E. Sterling Kinkler; Michael Magee

doi:10.1117/12.365861

18 October 1999 Sensor-fusion-based approach for feature extraction in intelligent transportation system applications

Ernest A. Franke, E. Sterling Kinkler, Michael Magee

Proceedings Volume 3808, Applications of Digital Image Processing XXII; (1999) https://doi.org/10.1117/12.365861
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1999, Denver, CO, United States

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.

Citation Download Citation

Ernest A. Franke, E. Sterling Kinkler, and Michael Magee "Sensor-fusion-based approach for feature extraction in intelligent transportation system applications", Proc. SPIE 3808, Applications of Digital Image Processing XXII, (18 October 1999); https://doi.org/10.1117/12.365861

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
13 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Sensors

RGB color model

Image segmentation

Infrared imaging

Cameras

Acoustics

Infrared cameras

Show All Keywords

Keywords/Phrases

Search In:

Publication Years