E.T. Pereira, H.M. Gomes, and V.F.C. Florentino (Brazil)
visual attention, genetic programming, computational grids, image region location.
This paper discusses the application of genetic program ming in the optimization of the weigths of a visual attention mechanism when performing two specific visual tasks: to locate people and object regions in an image. A saliency map, which indicates the most salient regions in an image, is created from the weighted sum of a number of interme diate feature maps (such as Intensity, Color and Orientation at different scales). A genetic algorithm with overlapping populations was employed to find the best set of weights that minimized the number of salient points needed to lo cate a particular class of image region. Experiments with a different set of images have confirmed the improvements in region location using the optimized weights.
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