The Application of Image Processing Technology in the Intelligent Transportation System

Abstract:

Image processing-based vehicle recognition is one of the important research fields in ITS. The existing methods are all based on license plate recognition and car shape recognition. Their common problem is algorithm stability. And the license plates are easy to be changed. All information about vehicles should be used to recognize them reliably. A problem to be solved is to find a method to recognize vehicles besides license plate recognition and vehicle model recognition. Vehicle license plate location and character segmentation are critical steps in the license plate recognition system, and yet there are difficult problems to be solved. Kernel density estimation and Mean Shift theory

• Periodical: Applied Mechanics and Materials (Volumes 543-547)
• Pages: 2678-2680
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.543-547.2678
• Online since: March 2014
• Authors: Xiu Hua Teng*
• Keywords: Image Processing, Intelligent Transportation System (ITS), Kernel Density Estimation, License Plate Recognition, Mean-Shift, Particle Filter (PF), Shadow Detection

References

[1] Broggi A, Conte G, Gregoretti F, SansoE C, Reyneri LM. The Revolution of the PAPRICA System. Integrated Computer-Aided Engineering Journal, 1997, 4(2): 114-36.

DOI: 10.3233/ica-1997-4203

[2] BertozziM. BroggiA. Vision-based Vehicle Guidance. IEEE Computer, 1997, 30(7): 49-55.

[3] Gang Yi JIANG, T.Y. CHOI, S.K. HONG. An Effective Approach to Lane Detection in Driver Assistance System. Proceedings of Korean Automatic Control Conference, 1999, E (8): 161-64.

[4] Redmill KA. ASimple Vision System for Lane Keeping. Proceedings of the IEEE Conference on Intelligent Transportation Systems, Boston, MA, 1997, 212-217.