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VOCUS: A Visual Attention System for Object Detection and Goal-Directed Search

  • Simone¬†Frintrop

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3899)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 3899)

Table of contents

  1. Front Matter
  2. Simone Frintrop
    Pages 1-5
  3. Simone Frintrop
    Pages 7-31
  4. Simone Frintrop
    Pages 129-147
  5. Simone Frintrop
    Pages 149-175
  6. Simone Frintrop
    Pages 177-180
  7. Simone Frintrop
    Pages 181-191
  8. Simone Frintrop
    Pages 193-197
  9. Simone Frintrop
    Pages 199-199
  10. Back Matter

About this book

Introduction

Object detection and recognition is a topic of significant interest in computer and robot vision. It is required in most applications of computational vision, for example, biometric systems, medical imaging, intelligent cars, factory automation, and image databases.

One of the major challenges in designing object recognition systems is to construct methods that are fast and capable of operating on standard computer platforms. The more developed such systems become, the more urgent becomes the need for a pre-selection system that enables subsequent processing to focus only on relevant data. One mechanism to achieve this is visual attention: it selects regions in a visual scene that are most likely to contain objects of interest. The field of visual attention is currently the focus of much research for both biological and artificial systems.

This monograph presents a complete computational system for visual attention and object detection: VOCUS (Visual Object detection with a CompUtational attention System) is a system capable of automatically selecting regions of interest in images and detecting specific objects. It represents a major step forward on integrating data-driven and model-driven information into a single framework. Additionally, the volume contains an extensive review of the literature on visual attention, detailed evaluations of VOCUS in different settings, and applications of the system in the context of object recognition and robotics.

Keywords

artificial intelligence automation biologically motivated systems classification cognition cognitive systems computational attention computer vision goal-directed image search information extraction object detection object recognition robot robot vision robotics

Authors and affiliations

  • Simone¬†Frintrop
    • 1
  1. 1.Comp. Science IIIUniversity of BonnGermany

Bibliographic information

  • DOI https://doi.org/10.1007/11682110
  • Copyright Information Springer-Verlag Berlin Heidelberg 2006
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-32759-2
  • Online ISBN 978-3-540-32760-8
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site