Artificial Intelligence
CVGIP: Image Understanding - Special issue on purposive, qualitative, active vision
Modeling visual attention via selective tuning
Artificial Intelligence - Special volume on computer vision
A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Simultaneous Localization and Map-Building Using Active Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Object Detection using Background Context
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
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The principle of a vision system based on a progressive focus of attention principle is presented. This approach considers the visual recognition strategy as an estimation problem for which the purpose is to estimate both precisely and reliably the parameters of the object to be recognized. The object is constituted of parts statistically dependent one each other thanks to a statistical model. The reliability is calculated within a bayesian framework. The case of lane sides detection for driving assistance is given as an illustration.