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Journal of Electronic Imaging

Auto-associative segmentation for real-time object recognition in realistic outdoor images
Author(s): Leonardo W. Estevez; Nasser Kehtarnavaz
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Paper 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.

Paper Details

Date Published: 1 April 1998
PDF: 8 pages
J. Electron. Imag. 7(2) doi: 10.1117/1.482608
Published in: Journal of Electronic Imaging Volume 7, Issue 2
Show Author Affiliations
Leonardo W. Estevez, Texas A&M Univ. (United States)
Nasser Kehtarnavaz, Texas A&M Univ. (United States)


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