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Vehicle Detection Method Using Convolution Matching Based on 8 Oriented Color Expression

8 방향 색상 표현 기반 컨벌류션 정합(Convolution Matching)을 이용한 차량 검출기법

  • 한성지 (숭실대학교 전자공학과) ;
  • 한영준 (숭실대학교 정보통신전자공학부) ;
  • 한헌수 (숭실대학교 정보통신전자공학부)
  • Published : 2009.12.31

Abstract

This paper presents a vehicle detection method that uses convolution matching method based on a simple color information. An input image is expressed as 8 oriented color expression(Red, Green, Blue, White, Black, Cyan, Yellow, Magenta) considering an orientation of a pixel color vector. It makes the image very reliable and strong against changes of illumination condition or environment. This paper divides the vehicle detection into a hypothesis generation step and a hypothesis verification step. In the hypothesis generation step, the vehicle candidate region is found by vertical edge and shadow. In the hypothesis verification step, the convolution matching and the complexity of image edge are used to detect real vehicles. It is proved that the proposed method has the fast and high detection rate on various experiments where the illumination source and environment are changed.

본 논문에서는 단순화한 색상 정보에 기반한 컨벌류션 정합(Convolution Matching)을 이용하여 차량을 검출하는 기법을 제안한다. 입력 영상을 화소 색상 벡터의 방향을 고려해 8방향 색상(Red, Green, Blue Cyan, Yellow, Magenta, White, Black)으로 표현한다. 8 방향 색상의 표현은 조명이나 환경 변화에 강인한 영상을 제공한다. 본 논문의 차량 검출 단계는 크게 후보 영역 검출 단계와 차량 검증 단계로 구성된다. 후보 영역 검출 단계에서는 수직 에지와 그림자 등을 고려하여 차량의 후보 영역을 결정한다. 차량 검증 단계에서는 차량을 판별하기 위해 컨벌류션 정합과 후보 영역내의 에지 복잡도를 사용한다. 제안하는 차량 검출 알고리즘은 조명이나 환경이 변화하는 다양한 실험들에서 빠르고 높은 검출률을 보였다.

Keywords

References

  1. S.Park, T.Kim, S.Kang, and K.Heon, "A Novel Signal Processing Technique for Vehicle Detection Radar," 2003 IEEE MTT-S International Microwave Symp. Degest, Vol. 1, pp. 607-610, June 2003.
  2. G.Alessandreiit, A.Broggi and P.Cerri, "Vehicle and Guard Rail Detection Using Radar and Vision Data Fusion," IEEE Intelligent Transportation Systems, Vol. 8, pp. 95-105, Mar. 2007. https://doi.org/10.1109/TITS.2006.888597
  3. Y. Wang, "Lane detection and tracking using B-snake", Elsevier, Image and Vision Computing, Vol. 22 pp. 269-280, Apr. 2004. https://doi.org/10.1016/j.imavis.2003.10.003
  4. H. Lim, "Lane departure identification on Highway with searching the region of interest on Hough Space", International Conference on Control, Automation and Systems, pp. 1088-1091, 2007.
  5. M. Tian, "Vision Based Lane detection for Active Security in Intelligent Vehicle," IEEE International Conference on Vehicular Electronics and Safety, pp. 507-511, Dec. 2006.
  6. H.J. LIU, "A Fast Method for Vanishing Point Estimation and Tracking and Its Application on Road Images," The 6th International Conference on ITS Telecommunications Proceedings, pp. 106-109, 2006.
  7. A. Broggi, "The Single Frame Stereo Vision System for Reliable Obstacle Detection Used during the 2005 DARPA Grand Challenge on TerraMax," IEEE Intelligent Transportation Systems Conference, pp. 745-752, Sept. 2006.
  8. A. Bensrhair, "A Cooperative Approach to Vision-based Vehicle Detection," IEEE Intelligent Transportation Systems Conference Proceedings, pp. 209-214, Aug. 2001.
  9. 송광열, 이기용, 이준웅, 윤팔주, "에지 분석과 에이다부스트 알고리즘을 이용한 차량검출," 한국자동차공학회, 27-34쪽, 2007년 8월.
  10. R. Miller, Z. Sun, G. Bebis, "On Road vehicle Detection," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 28, pp. 694-711, May 2004.
  11. 한상훈, 조형제, "그림자 정보를 이용한 HSV 컬러 모델 기반의 전방 차량 검출 및 차선 정보 검출," 멀티미디어학회 논문지, 제5권, 제2호, 176-190쪽, 2002년 4월.
  12. T. Liu, N. Zheng, L. Zhao, H. Cheng, "Learning based Symmetric Features Selection for Vehicle Detection," IEEE Intelligent Vehicles Symposium, pp. 124-129, June 2005.
  13. Z. Sun, G. Bebis, R. Miller, "Monocular Precrash Vehicle Detection : Features and Classifiers," IEEE Transactions on Image processing, Vol. 15, No. 7, pp. 2019-2034, July 2006. https://doi.org/10.1109/TIP.2006.877062
  14. R. Cucchiara, C. Grana, M.Piccardi, A. Prati, S. Sirotti, "Improving Shadow Suppression in Moving Object Detection with HSV Color Information," IEEE Intelligent Transportation Systems, pp. 334-339, Aug. 2001.
  15. A. Prati, I. Minic, M. Trivedi, R. Cucchiara, "Detecting Moving Shadows : Algorithms and Evaluation," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.25, no.7, pp. 918-923, July 2003. https://doi.org/10.1109/TPAMI.2003.1206520
  16. N. D. Matthoews, P. E. An, D. Charnley, C. J. Harris, "Vehicle Detection and Recognition in greyscale imagery," Control Engineering Practice, Vol. 4, Issue 4, pp. 473-479, Apr. 1996. https://doi.org/10.1016/0967-0661(96)00028-7