Journal of the Korea Institute of Information and Communication Engineering (한국정보통신학회논문지)

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Design and Implementation of a Real-Time Vehicle's Model Recognition System

실시간 차종인식 시스템의 설계 및 구현

  • 최태완 (진주산업대학교 메카트로닉스공학과)
  • Published : 2006.05.01
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Abstract

This paper introduces a simple but effective method for recognizing vehicle models corresponding to each maker by information and images for moving vehicles. The proposed approach is implemented by combination of the breadth detection mechanism using the vehicle's pressure, exact height detection by a laser scanning, and license plate recognition for classifying specific vehicles. The implemented system is therefore capable of robust classification with real-time vehicle's moving images and established sensors. Simulation results using the proposed method on synthetic data as well as real world images demonstrate that proposed method can maintain an excellent recognition rate for moving vehicle models because of image acquisition by 2-D CCD and various image processing algorithms.

교통제어나 차량에 연관된 범죄 등에서 자동차의 인식에 관한 연구의 중요성 때문에 이에 관련된 연구는 오래전부터 수행되어 왔다. 본 논문에서는 차량이 주행할 때의 정보와 영상을 획득하여 제조회사별 차종을 인식하는 방법을 제안하고자 한다. 본 논문의 차종인식은 차량의 압력을 이용한 차폭 검출방법, 그리고 보다 더 정확한 인식률을 얻기 위한 레이저 거리계를 이용한 차고 검출방법, $3\sim5$종의 구별을 위 한 차량의 번호판 인식 방법을 조합함으로써 차량 인식의 오류를 줄이는 시스템을 구현하였다. 구현된 차종인식 시스템은 2차원 CCD에 의한 차량의 영상획득과 이를 통한 다양한 영상처리 알고리즘에 의해서 국내의 전 차종에 적용할 수 있으며, 실제의 실험 결과는 높은 인식률을 나타내었다.

Keywords

References

  1. R. A. Lotufo, A. D. Morgan, and A. S. Johnson, 'Automatic number-plate recognition,' IEE Colloquium on Image Analysis for Transport Applications, Feb. 1990
  2. Neuricam, Nmnber Plate Recognition System NC6000 Data Sheet, http://www.neuricam.com. 2002
  3. Choudhury A. Rahman, Wael Badawy, and Ahmad Radmanesh, 'A Real Time Vehicle's License Plate Recognition System,' Proc. of the IEEE Conf. on Advanced Vuleo and Signal Based Surveillance, 2003
  4. Kohtaro Ohba and Kasushi Ikeuchi, 'Detectability, Uniqueness, and Reliability of Eigen Windows for Stable Verification of Partially Occluded Objects,' IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 19, no. 9, pp. 1043-1048, 1997 https://doi.org/10.1109/34.615453
  5. H. Murase and S. Nayar, 'Visual Learning and Recognition of 3D Objects from Appearance,' Ini'l J. of Computer Vision, vol. 14, pp. 5-24,1995 https://doi.org/10.1007/BF01421486
  6. W. Hwang and H. Ko, 'Real-time Vehicle Recognition Using Local Feature Extraction,' Electronic Letters, vol. 37, no. 7, pp. 424-425, Mar. 2001 https://doi.org/10.1049/el:20010282
  7. Christoph Bush, Ralf Dorner, Christian Freytag, Heike Ziegler, 'Feature Based Recognition of Traffic Video Streams for Online Route Tracing,' Proc. of the IEEE Conf. on Vehicle Technology Conference, pp. 1790-1794,1999
  8. Masataka Kagesawa, Shinichi Ueno, Katsushi Ikeuchi, and Hiroshi Kashiwagi, 'Local-Feature Based Vehicle Recognition in Infrared Images Using Parallel Vision Board,' Proc. of the IEEE Int'l Conf. on Intelligent Robots and Systems, pp. 1828-1833, 1999
  9. A. Schanz, C. Knoeppel, and B. Michaelis, 'Robust Vehicle Detection at Large Distance Using Low Resolution Camera,' Proc. of the IEEE Intelligent Vehicles Symposium, pp. 267-272,2000
  10. Wei Wu, Zang QiSen, and Wang Mingjun, 'A Method of Vehicle Classification Using Models and Neural Networks,' Proc. of the IEEE Conf. on Vehicle Technology Conference, vol. 4, pp. 3022-3026,2001
  11. Xia Limin, 'Vehicle Shape Recovery and Recognition Using Generic Models,' Proc. of the 4th World Congress on Intelligent Control and Automation, pp. 1055-1059,2002
  12. 강현인, 최태완, '압력식 차폭감지장치,' 특허출원 번호 10-2005-0043455, May, 2004
  13. SICK, Analogue Distance Sensors Data Sheet: DT60
  14. Matrox Co., Ltd., http://www.matrox.com
  15. Richard O. Duda, Peter E. Hart, David G. Stork, Pattern Classification, Wiley Inter-Science, 2001
  16. Ryad Benosman and Sing Bing Kang, Panoramic Vision, Springer, 2001
  17. Gonzalez and Woods, Digital Image Processing, Prentice Hall, 2002