NDLI: On The Identification of Snow Movements on Roads

Content Provider	IEEE Xplore Digital Library
Author	Cai, J. Pervez, M. Shehata, M. Johannesson, R. Badawy, W. Radmanesh, A.
Copyright Year	2006
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Calgary Univ., Alta. (Cai, J.; Pervez, M.; Shehata, M.; Johannesson, R.; Badawy, W.; Radmanesh, A.)
Abstract	One of the key components of an intelligent transportation systems is video-based automatic incident detection (AID). An AID system is able to detect incidents that require operator intervention. However, the accuracy of an AID system operating during the winter suffers from high false alarm rates due to the movement of snow on the roads. In this paper, a robust algorithm is proposed to detect moving snow in video streams and improve the rate of detection by having the AID system to reduce its sensitivity in the area that has snow movement. The proposed algorithm conducts glare processing, background generation & differencing, snow sample correlation and final snow map generation. The feasibility of the proposed algorithm has been evaluated using traffic videos captured from several cameras from the City of Calgary. This algorithm demonstrates accurate and real-time detection of moving snow
Starting Page	357
Ending Page	361
File Size	5459662
Page Count	5
File Format	PDF
ISBN	1424403820
ISSN	15206130
DOI	10.1109/SIPS.2006.352608
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-10-02
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Snow Intelligent transportation systems Cameras Vehicles Cities and towns Rain Layout Robustness Road accidents Environmental factors intelligent transportation systems Real-time snow detection automatic incident detection
Content Type	Text
Resource Type	Article

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