DocumentCode :
2555113
Title :
Weather identifying system based on vehicle video image
Author :
Song, Hongjun ; Xin Le ; Chen Yang-Zhou ; Gao Yuan-Yuan
Author_Institution :
Center for Autonomous Technol. & Intell. Control Organ., Beijing Univ. of Technol., Beijing, China
fYear :
2011
fDate :
21-25 June 2011
Firstpage :
172
Lastpage :
175
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.
Keywords :
geophysical image processing; image sequences; image texture; meteorology; road vehicles; video signal processing; cloudy day; road vehicle; snow day; sun day; texture analysis; vehicle video image; video sequence; weather identifying system; Clouds; Snow; texture analysis; vehicle video; weather identifying;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2011 9th World Congress on
Conference_Location :
Taipei
Print_ISBN :
978-1-61284-698-9
Type :
conf
DOI :
10.1109/WCICA.2011.5970722
Filename :
5970722
Link To Document :
بازگشت