1 April 1998 Auto-associative segmentation for real-time object recognition in realistic outdoor images
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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.
Leonardo W. Estevez, Nasser Kehtarnavaz, "Auto-associative segmentation for real-time object recognition in realistic outdoor images," Journal of Electronic Imaging 7(2), (1 April 1998). https://doi.org/10.1117/1.482608 . Submission:

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