NDLI: Weather identifying system based on vehicle video image

Content Provider	IEEE Xplore Digital Library
Author	Hongjun Song Xin Le Chen Yang-Zhou Gao Yuan-Yuan
Copyright Year	2011
Description	Author affiliation: Center for Autonomous Technology and Intelligent Control Organization, Beijing University of Technology, China (Hongjun Song; Xin Le; Chen Yang-Zhou; Gao Yuan-Yuan)
Abstract	Aim at the influence of the weather factor upon the road vehicle, this paper puts forward a kind of a weather identifying system vehicle video image. The system needs to initialize an original background image which is the brightest on the average in the first period of time. The background image is renewed not only when the bright degree of next frame image is higher than it, but also the weather is detected sun day at the same time. Get a background image of the current video sequence and let it minus with it to obtain the identifying image. At last do texture analysis to it to realize the weather automatically identifying. This paper mainly identifies the weather in a sun day, cloudy day and snow day, and after a lot of experiments the method are proved to be effective, and it can identify the weather condition of the current vehicle video accurately.
Starting Page	172
Ending Page	175
File Size	998675
Page Count	4
File Format	PDF
ISBN	9781612846989
e-ISBN	9781612847009
DOI	10.1109/WCICA.2011.5970722
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-21
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Snow Clouds vehicle video weather identifying texture analysis
Content Type	Text
Resource Type	Article

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