Full text: CMRT09

Domingos, P., Hulten, G., 2000. Mining high-speed data 
streams. In proc. of the VI ACM SIGKDD International 
Conference on Knowledge Discovery and Data Mining, 
Boston, USA. pp. 71 - 80. 
Land, E.H., McCann, J.J. 1971. Lightness and Retinex 
Theory. Journal of the Optical Society> of America, 61(1), pp. 
1-20. 
Oza, N.C. 2005. Online Bagging and Boosting. In proc. of 
IEEE International Conference on Systems, Man, and 
Cybernetics, Special Session on Ensemble Methods for 
Extreme Environments. - New Jersey, USA, vol. 3, pp. 2340- 
2345 
Paris, S., Durand, F. 2007. A Topological Approach to 
Hierarchical Segmentation using Mean Shift. In proc. of 
Computer Vision and Pattern recognition, Minneapolis, 
Minnesota, USA. 
Sudakov, S., Barinova, O., 2008, Velizhev, A., Konushin, A. 
Semantic segmentation of road images based on cascade 
classifiers, In proc. of Pattern Recognition an Image 
Analysis, Nizhny Novgorod, Russia, vol. 2, pp. 112-116. 
Viola, P., Jones, M. 2002, Robust Real-time Object 
Detection, International Journal of Computer Vision. 
Leung, T, Malik, J. 1999. Recognizing Surfaces Using Three- 
Dimensional Textons. In proc. of the International 
Conference on Computer Vision, Kerkyra, Corfu, Greece 
Vol. 2, pp. 1010-1118, 
Figure 8. Results of automatic detection of road defects and lane marking. From top to bottom: roadl data, road2 data, road3 data, 
road4 data. Image parts number 3, 5, 10 and 18 are shown together with automatic detection results before manual correction. Lane 
marking is shown in green with blending, road defects are shown in brown with blending. Picture is better viewed in color and 
magnified.
	        
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