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Proceedings Paper

Grayscale image segmentation for real-time traffic sign recognition: the hardware point of view
Author(s): Tam P. Cao; Guang Deng; Darrell Elton
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Paper Abstract

In this paper, we study several grayscale-based image segmentation methods for real-time road sign recognition applications on an FPGA hardware platform. The performance of different image segmentation algorithms in different lighting conditions are initially compared using PC simulation. Based on these results and analysis, suitable algorithms are implemented and tested on a real-time FPGA speed sign detection system. Experimental results show that the system using segmented images uses significantly less hardware resources on an FPGA while maintaining comparable system's performance. The system is capable of processing 60 live video frames per second.

Paper Details

Date Published: 4 February 2009
PDF: 10 pages
Proc. SPIE 7244, Real-Time Image and Video Processing 2009, 724405 (4 February 2009); doi: 10.1117/12.810760
Show Author Affiliations
Tam P. Cao, La Trobe Univ. (Australia)
Guang Deng, La Trobe Univ. (Australia)
Darrell Elton, La Trobe Univ. (Australia)

Published in SPIE Proceedings Vol. 7244:
Real-Time Image and Video Processing 2009
Nasser Kehtarnavaz; Matthias F. Carlsohn, Editor(s)

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