Articles

Auto-associative segmentation for real-time object recognition in realistic outdoor images

[+] Author Affiliations
Leonardo W. Estevez, Nasser Kehtarnavaz

Texas A&M University, Department of Electrical Engineering, College Station, Texas?77843-3128

J. Electron. Imaging. 7(2), 378-385 (Apr 01, 1998). doi:10.1117/1.482608
History: Received Feb. 10, 1997; Accepted Sep. 22, 1997
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Abstract

As digital signal processors (DSPs) become more advanced, many real-time recognition problems will be solved with completely integrated solutions. In this paper a methodology which is designed for today’s DSP architectures and is capable of addressing applications in real-time color object recognition is presented. The methodology is integrated into a processing structure called raster scan video processing which requires a small amount of memory. The small amount of memory required enables the entire recognition system to be implemented on a single DSP. This auto-associative segmentation approach provides a means for desaturated color images to be segmented. The system is applied to the problem of stop sign recognition in realistically captured outdoor images. © 1998 SPIE and IS&T.

© 1998 SPIE and IS&T

Citation

Leonardo W. Estevez and Nasser Kehtarnavaz
"Auto-associative segmentation for real-time object recognition in realistic outdoor images", J. Electron. Imaging. 7(2), 378-385 (Apr 01, 1998). ; http://dx.doi.org/10.1117/1.482608


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