Object Detection Simulating Visual Attention

Authors:
Xingshan Li;Chunwei Yuan
Affiliations:
-;-
Venue:
AMT '01 Proceedings of the 6th International Computer Science Conference on Active Media Technology
Year:
2001

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Abstract

It will be efficient for object detection to select only a subset of available sensory information before further detailed processing. In this paper, object detection is approached through simulating visual attention, which is modeled by a learned saliency map. The efficiency of the proposed method is verified in the eye detection problem.