Development of the Road Weather Detection Algorithm on CCTV Video Images using Double Decision Trees


The KIPS Transactions:PartB , Vol. 14, No. 6, pp. 445-452, Oct. 2007
10.3745/KIPSTB.2007.14.6.445,   PDF Download:

Abstract

We proposed a detection scheme of weather information in CCTV video images in this paper. The scheme obtains the RGB distribution of shiny day and divide a target image into cloud, rain, snow and fog RGB distributions. shiny day RGB distribution.Our scheme designed systematically to detection and separation special characteristics of images from complex weather information. Our algorithm has less overhead than the previous methods to use weather database DB at the view of time and space. And our algorithm can be use in real world system with low cost of implementation. Also, our algorithm use informations of temperature, humidity, date, and time to detect the information of weather with high quality.


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Cite this article
[IEEE Style]
B. R. Park, S. Namkoong, J. T. Lim, "Development of the Road Weather Detection Algorithm on CCTV Video Images using Double Decision Trees," The KIPS Transactions:PartB , vol. 14, no. 6, pp. 445-452, 2007. DOI: 10.3745/KIPSTB.2007.14.6.445.

[ACM Style]
Beung Raul Park, Sung Namkoong, and Joong Tae Lim. 2007. Development of the Road Weather Detection Algorithm on CCTV Video Images using Double Decision Trees. The KIPS Transactions:PartB , 14, 6, (2007), 445-452. DOI: 10.3745/KIPSTB.2007.14.6.445.