Scope
Recently,
cognitive psychology has discovered attention mechanisms to play a key role
in object recognition and scene interpretation, resulting in innovative computational
attention architectures modelling human perception. The development of enabling
technologies such as video surveillance systems, miniaturised mobile sensors,
and ambient intelligence systems involves the real-time analysis of enormous
quantities of data. Knowledge has to be applied about what needs to be attended
to, and when, and what to do in a meaningful sequence, in correspondence with
visual feedback. Concurrently, the fundamental need for cognitive vision methodologies
has been broadly recognised. Methods on attention and control are mandatory
to render computer vision systems more robust.
This workshop will provide an interdisciplinary forum to present and communicate
methodologies and concepts from computer vision, cognitive psychology, autonomous
systems research and neuroscience with respect to theory and application of
visual attention. We expect investigations to focus on computational models
of attention, to outline relevant objectives for performance comparison, to
document and to investigate promising application domains, and to discuss it
with reference to other aspects of cognitive vision. However, contributions
to computational models of visual attention - machine or human perception based
- must be the central theme of successful submissions.
Topics of interest include, but are not limited to, the following:
Techniques:
- Computational architectures for attention
- Attention and control of vision processes
- Attention in object recognition and detection
- Selection and integration of information
- Machine learning and feature selection in computer vision
- Decision making and computer vision
- Behavior engineering
- Robust statistical techniques
- Perceptual organisation
Applications:
- Video analysis and multimedia
- Surveillance
- Industrial inspection
- Robotics
- Nomadic computing
- Medical computer vision
- Mobile Mapping
- Remote sensing