Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Road Extraction Based on Random Forest and Color Correlogram

랜덤 포레스트와 칼라 코렐로그램을 이용한 도로추출

  • 최지혜 (전남대학교 산업공학과(시스템자동화연구소)) ;
  • 송광열 (전남대학교 산업공학과(시스템자동화연구소)) ;
  • 이준웅 (전남대학교 산업공학과(시스템자동화연구소))
  • Received : 2011.01.25
  • Accepted : 2011.03.14
  • Published : 2011.04.01
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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.

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References

  1. R. Labayrade, D. Aubert, and J. P. Tarel, "Real time obstacle detection in stereovision on non flat road geometry through "vdisparity" representation," IEEE Intelligent Vehicle Symposium, pp. 646-651, 2002. https://doi.org/10.1109/IVS.2002.1188024
  2. K. Y. Lee, J. W. Lee, and N. Houshangi, "A stereo matching algorithm based on top-view transformation and dynamic programming for road-vehicle detection," Int. J. of Control, Automation, and Systems, vol. 7, no. 2, pp. 221-231, 2009. https://doi.org/10.1007/s12555-009-0208-6
  3. H. Badino, R. Mester, T. Vaudrey, and U. Franke, "Stereo-based Free Space Computation in Complex Traffic Scenarios," IEEE Southwest Symposium on Image Analysis and Interpretation, pp. 189-192, 2008. https://doi.org/10.1109/SSIAI.2008.4512317
  4. D. A. Pomerleau and T. Jochem, "Rapidly adapting machine vision for automated vehicle steering," IEEE Expert Intelligent Systems and Their App., pp. 19-27, April 1996. https://doi.org/10.1109/64.491277
  5. J. W. Lee and U. K. Yi, "A lane-departure identification based on LBPE, Hough transform, and linear regression," CVIU, vol. 99, pp. 359-383, 2005.
  6. G. Y. Song and J. W. Lee, "Detection of road vehicles based on a multistage combination of edge features and horizontal symmetry of a monocular image," Journal of Institute of Control, Robotics and Systems, vol. 14, no. 7, pp. 679-688, 2008. https://doi.org/10.5302/J.ICROS.2008.14.7.679
  7. J. Crisman and C. E. Thrope, "SCARF: A color vision system that tracks roads and intersections," IEEE Trans. Robot Automat., vol. 9, pp. 49-53, 1993. https://doi.org/10.1109/70.210794
  8. T. Kalinke, C. Tzomakas, and W. Von Seelen. "A texture-based object detection and an adaptive model-based classification," Proc. IEEE Int'l Conf. Intelligent Vehicles, pp. 143-148, 1998.
  9. Y. Alon, A. Ferencz, and A. Shashua. "Off-road path following using region classification and geometric projection constraints," CVPR, pp. 689-696, 2006.
  10. D. Lieb, A. Lookingbill, and S. Thrun, "Adaptive road following using self-supervised learning and reverse optical flow," Proc. Of Robotics: Science and Systems, 2005.
  11. H. Dahlkamp, A. Kaehler, D. Stavens, S. Thrun, and G. Bradski, "Self-supervised monocular road detection in desert terrain," Proc. of Robotics: Science and Systems, 2006.
  12. C. Rasmussen, "Grouping dominant orientation for ill-structured road following," CVPR, pp. 470-477, 2004.
  13. J. Huang, S. Kumar, M. Mitra, W.-J. Zhu, and R. Zabih, "Image indexing using color correlogram," Proc. of IEEE Conf. on CVPR, pp. 193-233, 1997.
  14. T. Ojala, M. Rautiainen, E. Matinmikko, and M. Aittola, "Semantic image retrieval with HSV correlogram," Proc. 12th Scandinavian Conf. On Image Analysis, Bergen, Norway, pp. 620-627, 2001.
  15. V. Lepetit and P. Fua, "Keypoint recognition using randomized trees," PAMI, vol. 28, no. 9, pp. 1465-1479, 2006. https://doi.org/10.1109/TPAMI.2006.188
  16. Y. Amit and D. Geman, "Shape quantization and recognition with randomized trees," Neural Computation, vol. 9, no. 7, pp. 1545-1588, 1997. https://doi.org/10.1162/neco.1997.9.7.1545
  17. A. Bosch, A. Zisserman, and X. Munoz, "Image classification using random forests and ferns," ICCV, pp. 1-8, 2007.