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: