Evaluation of video vehicle detector "SilhouetteVision" under snow condition.

Author(s)
Tani, Y. Kamada, K. & Kimachi, M.
Year
Abstract

Along with the development of road traffic systems, video vehicle detectors that can gather various traffic conditions are much expected recently. However, conventional gray-scale based video detectors do not work well under adverse conditions such as shadows, rainy nights, twilight and congestion. To solve this problem, a stereo-based video vehicle detector, SilhouetteVision, was developed, and its superb vehicle detection accuracy has been confirmed by various field tests. The focus here is to evaluate the performances of SilhouetteVision under snow conditions. It is very difficult to preserve stable performances during periods of snowfall for conventional video detectors. Excellent performance of the stereo-based SilhouetteVision was obtained in snow. For the covering abstract see ITRD E114174.

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Publication

Library number
C 24455 (In: C 22454 CD-ROM) /73 /90 / ITRD E115588
Source

In: From vision to reality : proceedings of the 7th World Congress on Intelligent Transportation Systems ITS, Turin, Italy, 6-9 November 2000, 7 p., 5 ref.

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This publication is one of our other publications, and part of our extensive collection of road safety literature, that also includes the SWOV publications.