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008 101025s2006 gw | s |||| 0|eng d
020 _a9783540327608
_9978-3-540-32760-8
024 7 _a10.1007/11682110
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
100 1 _aFrintrop, Simone.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9162076
245 1 0 _aVOCUS: A Visual Attention System for Object Detection and Goal-Directed Search
_h[electronic resource] /
_cby Simone Frintrop.
250 _a1st ed. 2006.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2006.
300 _aXIV, 216 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v3899
505 0 _a1 Introduction -- 2 Background on Visual Attention -- 3 State of the Art of Computational Attention Systems -- 4 The Visual Attention System VOCUS: Bottom-Up Part -- 5 The Visual Attention System VOCUS: Top-Down Extension -- 6 Sensor Fusion -- 7 Attentive Classification -- 8 Conclusion -- A Basics of Computer Vision -- B The Viola-Jones Classifier -- C Explanation of Color Figures.
520 _aObject 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.
650 0 _aArtificial intelligence.
_93407
650 0 _aImage processing
_xDigital techniques.
_94145
650 0 _aComputer vision.
_9162077
650 0 _aPattern recognition systems.
_93953
650 0 _aComputer graphics.
_94088
650 0 _aAlgorithms.
_93390
650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aComputer Imaging, Vision, Pattern Recognition and Graphics.
_931569
650 2 4 _aComputer Vision.
_9162078
650 2 4 _aAutomated Pattern Recognition.
_931568
650 2 4 _aComputer Graphics.
_94088
650 2 4 _aAlgorithms.
_93390
710 2 _aSpringerLink (Online service)
_9162079
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783540327592
776 0 8 _iPrinted edition:
_z9783540821304
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v3899
_9162080
856 4 0 _uhttps://doi.org/10.1007/11682110
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
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