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http://dx.doi.org/10.5302/J.ICROS.2011.17.4.346

Road Extraction Based on Random Forest and Color Correlogram  

Choi, Ji-Hye (Chonnam National University)
Song, Gwang-Yul (Chonnam National University)
Lee, Joon-Woong (Chonnam National University)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.17, no.4, 2011 , pp. 346-352 More about this Journal
Abstract
This paper presents a system of road extraction for traffic images from a single camera. The road in the images is subject to large changes in appearance because of environmental effects. The proposed system is based on the integration of color correlograms and random forest. The color correlogram depicts the color properties of an image properly. Using the random forest, road extraction is formulated as a learning paradigm. The combined effects of color correlograms and random forest create a robust system capable of extracting the road in very changeable situations.
Keywords
road extraction; color correlogram; random forest; mono vision;
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