In this thesis, we have introduced the new computational attention system VOCUS for the efficient and robust detection of regions of interest in images. The approach regards object recognition as a two step process: first, the fast attention system detects regions of interest in the whole image and second, a classifier recognizes the content in the specified region. This separation enables an efficient processing since complex object recognition is restricted to a small image region.
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