This book constitutes the thoroughly refereed post-proceedings of the Second International Workshop on Attention and Performance in Computational Vision, WAPCV 2004, held in Prague, Czech Republic in May 2004. The 16 revised full papers presented together with an invited paper were carefully select
Attention and Performance in Computational Vision: Second International Workshop, WAPCV 2004, Prague, Czech Republic, May 15, 2004, Revised Selected Papers
β Scribed by Ola RamstrΓΆm, Henrik I Christensen (auth.), Lucas Paletta, John K. Tsotsos, Erich Rome, Glyn Humphreys (eds.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Year
- 2005
- Tongue
- English
- Leaves
- 239
- Series
- Lecture Notes in Computer Science 3368 : Image Processing, Computer Vision, Pattern Recognition, and Graphics
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Inrecentresearchoncomputervisionsystems,attentionhasbeenplayingacrucialrolein mediatingbottom-upandtop-downpathsofinformationprocessing. Inappliedresearch, the development of enabling technologies such as miniaturized mobile sensors, video surveillance systems, and ambient intelligence systems involves the real-time analysis of enormous quantities of data. Knowledge has to be applied about what needs to be attendedto,andwhen,andwhattodoinameaningfulsequence,incorrespondencewith visual feedback. Methods on attention and control are mandatory to render computer vision systems more robust. The 2nd International Workshop on Attention and Performance in Computational Vision (WAPCV 2004) was held in the Czech Technical University of Prague, Czech Republic, as an associated workshop of the 8th European Conference on Computer - sion (ECCV 2004). The goal of this workshop was to provide an interdisciplinary forum tocommunicatecomputationalmodelsofvisualattentionfromvariousviewpoints,such as from computer vision, psychology, robotics and neuroscience. The motivation for - terdisciplinarity was communication and inspiration beyond the individual community, to focus discussion on computational modelling, to outline relevant objectives for p- formance comparison, to explore promising application domains, and to discuss these with reference to all related aspects of cognitive vision. The workshop was held as a single-day, single-track event, consisting of high-quality podium and poster presen- tions. Invited talks were given by John K. Tsotsos about attention and feature binding in biologically motivated computer vision and by Gustavo Deco about the context of attention, memory and reward from the perspective of computational neuroscience. The interdisciplinary program committee was composed of 21 internationally r- ognized researchers.
β¦ Table of Contents
Front Matter....Pages -
Distributed Control of Attention....Pages 1-15
Inherent Limitations of Visual Search and the Role of Inner-Scene Similarity....Pages 16-28
Attentive Object Detection Using an Information Theoretic Saliency Measure....Pages 29-41
A Model of Object-Based Attention That Guides Active Visual Search to Behaviourally Relevant Locations....Pages 42-56
Learning of Position-Invariant Object Representation Across Attention Shifts....Pages 57-70
Combining Conspicuity Maps for hROIs Prediction....Pages 71-82
Human Gaze Control in Real World Search....Pages 83-99
The Computational Neuroscience of Visual Cognition: Attention, Memory and Reward....Pages 100-117
Modeling Attention: From Computational Neuroscience to Computer Vision....Pages 118-132
Towards a Biologically Plausible Active Visual Search Model....Pages 133-147
Modeling Grouping Through Interactions Between Top-Down and Bottom-Up Processes: The Grouping and Selective Attention for Identification Model (G-SAIM)....Pages 148-158
TarzaNN : A General Purpose Neural Network Simulator for Visual Attention Modeling....Pages 159-167
Visual Attention for Object Recognition in Spatial 3D Data....Pages 168-182
A Visual Attention-Based Approach for Automatic Landmark Selection and Recognition....Pages 183-195
Biologically Motivated Visual Selective Attention for Face Localization....Pages 196-205
Accumulative Computation Method for Motion Features Extraction in Active Selective Visual Attention....Pages 206-215
Fast Detection of Frequent Change in Focus of Human Attention....Pages 216-230
Back Matter....Pages -
β¦ Subjects
Image Processing and Computer Vision; Artificial Intelligence (incl. Robotics); Pattern Recognition; Computer Graphics; Neurosciences; Control, Robotics, Mechatronics
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