A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Object-based visual attention for computer vision
Artificial Intelligence
A GPU based saliency map for high-fidelity selective rendering
AFRIGRAPH '06 Proceedings of the 4th international conference on Computer graphics, virtual reality, visualisation and interaction in Africa
2006 Special Issue: Modeling attention to salient proto-objects
Neural Networks
Multi-modal and multi-camera attention in smart environments
Proceedings of the 2009 international conference on Multimodal interfaces
Active-vision-based multisensor surveillance - an implementation
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Multi-modal and multi-camera attention in smart environments
Proceedings of the 2009 international conference on Multimodal interfaces
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Focusing their attention to the most relevant information is a fundamental biological concept, which allows humans to (re-)act rapidly and safely in complex and unfamiliar environments. This principle has successfully been adopted for technical systems where sensory stimuli need to be processed in an efficient and robust way. In this paper a multi-modal attention system for smart environments is described that explicitly respects efficiency and robustness aspects already by its architecture. The system facilitates unconstrained human-machine interaction by integrating multiple sensory information of different modalities.