Abstract
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).
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Frintrop, S. (2006). 7 Attentive Classification. In: VOCUS: A Visual Attention System for Object Detection and Goal-Directed Search. Lecture Notes in Computer Science(), vol 3899. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11682110_7
Download citation
DOI: https://doi.org/10.1007/11682110_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-32759-2
Online ISBN: 978-3-540-32760-8
eBook Packages: Computer ScienceComputer Science (R0)