Artificial Intelligence
Saccadic object recognition with an active vision system
ECAI '92 Proceedings of the 10th European conference on Artificial intelligence
Context-free attentional operators: the generalized symmetry transform
International Journal of Computer Vision - Special issue on qualitative vision
Modeling visual attention via selective tuning
Artificial Intelligence - Special volume on computer vision
Active fixation for scene exploration
International Journal of Computer Vision - Special issue: machine vision research at the Royal Institute of Technology
Pfinder: Real-Time Tracking of the Human Body
IEEE Transactions on Pattern Analysis and Machine Intelligence
Attentional scene segmentation: integrating depth and motion
Computer Vision and Image Understanding
Digital Picture Processing
A Computational Model of Depth-Based Attention
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume IV-Volume 7472 - Volume 7472
Using Neural Field Dynamics in the Context of Attentional Control
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Focus-of-Attention from Local Color Symmetries
IEEE Transactions on Pattern Analysis and Machine Intelligence
Real-Time Gesture Recognition by Learning and Selective Control of Visual Interest Points
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer Vision and Image Understanding - Special issue: Attention and performance in computer vision
Assessing the contribution of color in visual attention
Computer Vision and Image Understanding - Special issue: Attention and performance in computer vision
A bimodal laser-based attention system
Computer Vision and Image Understanding - Special issue: Attention and performance in computer vision
Real-time tracking of visually attended objects in interactive virtual environments
Proceedings of the 2007 ACM symposium on Virtual reality software and technology
An efficient algorithm for attention-driven image interpretation from segments
Pattern Recognition
A Spatio-temporal Extension of the SUSAN-Filter
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I
A computer vision model for visual-object-based attention and eye movements
Computer Vision and Image Understanding
Color Saliency and Inhibition Using Static and Dynamic Scenes in Region Based Visual Attention
Attention in Cognitive Systems. Theories and Systems from an Interdisciplinary Viewpoint
Simultaneous Robot Localization and Mapping Based on a Visual Attention System
Attention in Cognitive Systems. Theories and Systems from an Interdisciplinary Viewpoint
A Novel Hierarchical Framework for Object-Based Visual Attention
Attention in Cognitive Systems
Computer Vision and Image Understanding - Special issue: Attention and performance in computer vision
Assessing the contribution of color in visual attention
Computer Vision and Image Understanding - Special issue: Attention and performance in computer vision
A Bimodal Laser-Based Attention System
Computer Vision and Image Understanding - Special issue: Attention and performance in computer vision
Computational visual attention systems and their cognitive foundations: A survey
ACM Transactions on Applied Perception (TAP)
Using Local Symmetry for Landmark Selection
ICVS '09 Proceedings of the 7th International Conference on Computer Vision Systems: Computer Vision Systems
Unsupervised image categorization
Image and Vision Computing
Using symmetrical regions of interest to improve visual SLAM
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Integrating context-free and context-dependent attentional mechanisms for gestural object reference
ICVS'03 Proceedings of the 3rd international conference on Computer vision systems
Recognition of gestural object reference with auditory feedback
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
Context-free detection of events
SCIA'07 Proceedings of the 15th Scandinavian conference on Image analysis
An attentional approach for perceptual grouping of spatially distributed patterns
Proceedings of the 29th DAGM conference on Pattern recognition
A self-organizing approach to detection of moving patterns for real-time applications
BVAI'07 Proceedings of the 2nd international conference on Advances in brain, vision and artificial intelligence
Visual search in static and dynamic scenes using fine-grain top-down visual attention
ICVS'08 Proceedings of the 6th international conference on Computer vision systems
Early clustering approach towards modeling of bottom-up visual attention
KI'09 Proceedings of the 32nd annual German conference on Advances in artificial intelligence
IEEE Transactions on Image Processing
A novel biologically inspired attention mechanism for a social robot
EURASIP Journal on Advances in Signal Processing - Special issue on biologically inspired signal processing: analyses, algorithms and applications
Selecting what is important: training visual attention
KI'05 Proceedings of the 28th annual German conference on Advances in Artificial Intelligence
Classification using scale and rotation tolerant shape signatures from convex hulls
ICAPR'05 Proceedings of the Third international conference on Pattern Recognition and Image Analysis - Volume Part II
Goal-directed search with a top-down modulated computational attention system
PR'05 Proceedings of the 27th DAGM conference on Pattern Recognition
Visual attention for object recognition in spatial 3d data
WAPCV'04 Proceedings of the Second international conference on Attention and Performance in Computational Vision
How do warm colors affect visual attention?
Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing
Visual attention mechanism for a social robot
Applied Bionics and Biomechanics - Personal Care Robotics
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Models of visual attention provide a general approach to control the activities of active vision systems. We will introduce a new model of attentional control that differs in important aspects from conventional ones. We divide the selection into two stages, which is more suitable for the system as well as explaining different phenomena found in natural visual attention, such as the dispute between early and late selection. The proposed model is especially designed for use in dynamic scenes. Our approach aims at modeling as much of a general active vision system as possible and designing clean interfaces for the integration of the remaining specific aspects needed in order to solve specific problems.