Naoto Nagaoka

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We propose a grouping algorithm for tracking and recognition of complex objects in video images. The algorithm is based on region-growing image segmentation for dividing each image into its constituent elements or segments and feature matching using the characteristic features of these elements. All segments in video images, which can be viewed as simple(More)
We report a pixel-block scanning image segmentation VLSI based on a region-growing approach. Using the two techniques of (i) a limited scan to the boundary of each grown region and (ii) continued block-internal region growing, we have improved the overall segmentation speed and power consumption in comparison to a previous design. We evaluated the(More)
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