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, Leonardo W. Estevez, Nasser Kehtarnavaz, 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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