交通標誌辨識系統在PAC Duo嵌入式系統之實現

林咏漢

doi:10.6844/NCKU.2011.01098

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交通標誌辨識系統在PAC Duo嵌入式系統之實現

An Implementation of Traffic Sign Recognition Based on PAC Duo Embedded System

林咏漢 , Masters　　Advisor：王明習　　

繁體中文 DOI： 10.6844/NCKU.2011.01098

交通標誌辨識；樣板比對；嵌入式系統； Traffic sign recognition ； Template matching ； Embedded system

Abstract │ Reference (23) │ Times Cited (2) │ Altmetrics

Abstract 〈TOP〉

Parallel Abstract 〈TOP〉

In this research a traffic sign recognition system based on template matching was presented. The system was implemented on the ITRI’s PAC Duo embedded system for recognizing the traffic signs including the warning signs (42 kinds)-- Red triangle sharp and white background with back pattern, red prohibition signs(32 kinds)-- Red circle sharp and white background with back pattern, and blue prohibition signs(13 kinds)-- Blue circle sharp and blue background with white pattern used in Taiwan. The proposed traffic sign recognition system was divided into two subsystems. The first one is called traffic sign detection subsystem. It was used to determine whether any traffic sign existed in the source image. Color segmentation method was used to extract the red information and the blue information of the input image, respectively. For these too large and too small areas of the extracted regions, they seems not as the candidates of traffic signs, are eliminated to reserve the candidate regions of traffic signs. Then the warning sign template and the red prohibition sign template were used to find the candidate sign regions of the red information, and the blue prohibition sign template was used to find the candidate sign regions of the blue information. The second subsystem called traffic recognition subsystem. It was used to determine the content of the detected traffic signs. Each normalized sign has been represented by 5 features and 5 different angle versions are considered in the DB. The correlation between the candidate and the object signs was calculated to determine the content of the traffic sign. The ITRI’s PAC Duo consists of one ARM processor and two DSP processors. The communication mechanism of the two kinds of processors is via mailbox and with shared memory. The resolution of the test videos is 320x240 pixels per frame, and captured on sunny day and cloudy day. The experimental result shows that the average procession time is 0.6 seconds for a frame and the average recognition rate is 83%. For real time application, the performance of the embedded system must be improved.

Reference ( 23 ) 〈TOP〉

[1] Y. Wang, L. Liu and Y. Zhao, "Traffic sign detection based on fixed color combination and intensity restraint," International Symposium on Computer Network and Multimedia Technology, Wuhan, pp. 1-5, 18-20 Jan.2009.
連結：
[6] Y. Aoyagi and T. Asakura, " A study on traffic sign recognition in scene image using genetic algorithms and neural networks," in Proc. 22nd IEEE Int. Conf. Ind. Electron., vol. 3, Taipei, Taiwan, pp. 1838–1843, 5-10 Aug.1996.
連結：
[7] M. Heath, S. Sarkar, T. Sanocki, and K. Bowyer, " A robust visual method for assessing the relative performance of edge-detection algorithms," IEEE J. Pattern Anal. Mach. Intell, vol. 19, no. 12, pp. 1338–1359, 1997.
連結：
[8] L. Pacheco, J. Batlle and X. Cufi, " A New Approach to Real Time Traffic Sign Recognition Based on Colour Information," Proceedings of the Intelligent Vehicles Symposium, pp. 339-344, 24-26 Oct.1994.
連結：
[9] A. Vavilin and K. Jo, " Automatic Detection and Recognition of Traffic Signs using Geometric Structure Analysis," SICE-ICASE International Joint Conference, Busan, pp. 1451-1456, 18-21 Oct.2006.
連結：

Times Cited (2) 〈TOP〉

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