Abstract
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.
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). 8 Conclusion. 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_8
Download citation
DOI: https://doi.org/10.1007/11682110_8
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)