A Method of Extracting Objects of Interest with Possible Broad Application in Computer Vision
An approach of using a biologically motivated attention system to extracting objects of interest from an image is presented with possible broad application in computer vision. Starting with an RGB image, four streams of biologically motivated features are extracted and reorganized in order to calculate a saliency map allowing the selection of the most interesting objects. The approach is tested on three different types of images showing reasonable results. In addition, in order to verify the results on real images, we performed human test and compared the measured behaviors of human subjects with the results of the system.
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