A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mobile Robot Localisation Using Active Vision
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
Detection of Natural Landmarks through Multiscale Opponent Features
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 3
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This paper presents a new approach to detect salient regions in an image. A number of units is used to respond to the most salient regions, adapting their response to the size and range of colors present in each region. The system can be directly used on a sequence of images, continuously adapting its output with time. A quality estimation of each unit allows selecting the most relevant regions present in the image at any time. The output of this process can be used as a visual attention mechanism to determine what parts of the image deserve to be processed further.