7 Attentive Classification
According to [Neisser, 1967], object recognition in human perception is done in two steps: first, attentional processes select a region of interest, and second, complex object recognition is restricted to these regions. In the previous chapters, we introduced the computational attention system VOCUS that performs the first of these steps. In this chapter, we realize the second step: VOCUS is combined with a well-known classifier [Viola and Jones, 2004] resulting in a complete recognition system. This approach is called attentive classification (cf. Fig. 7.1).
KeywordsObject Recognition Training Image False Detection Salient Object Attention System
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