Detection, Tracking and Classification of Road Signs in Adverse Conditions

In this paper a complete automatic system for road-sign detection, tracking, and classification is presented and evaluated. The processing of video frames in the L*a*b color space improves significantly the sign detection rate by processing the same frame in different normalized color spaces. The tr...

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Bibliographic Details
Published in:MELECON 2006 - 2006 IEEE Mediterranean Electrotechnical Conference pp. 537 - 540
Main Authors: Siogkas, G.K., Dermatas, E.S.
Format: Conference Proceeding
Language:English
Published: IEEE 2006
Subjects:
Cities and towns
Color
Light sources
Navigation
Remotely operated vehicles
Road vehicles
Robustness
Shape
Space technology
Vehicle driving
ISBN:9781424400874, 1424400872
ISSN:2158-8473
Online Access:Get full text
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Summary:In this paper a complete automatic system for road-sign detection, tracking, and classification is presented and evaluated. The processing of video frames in the L*a*b color space improves significantly the sign detection rate by processing the same frame in different normalized color spaces. The tracking module reduces significantly the processing time by transferring the sign detection information in the next frames and processing different radii signs in parallel. The proposed system is evaluated in normal, raining and night driving conditions. In a total number of 266 road-sign recordings, the complete system track and recognize successfully 216. The main source of system fault appears in city night driving due to the presence of a great number of light sources
ISBN:9781424400874
1424400872
ISSN:2158-8473
DOI:10.1109/MELCON.2006.1653157