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A Visual Attention Model for Dynamic Scenes Based on Two-Pathway Processing in Brain

by: Jiawei Chen, Changle Zhou, Kunhui Lin, Yanyun Qu
International Conference on Natural Computation, Vol. 6 (2008), pp. 128-132.

X Abstract

In this paper, a visual attention model for dynamic scenes based on two-pathway processing in brain is proposed. A saliency map is created to measure the static features, and a motion conspicuity map is created to measure the dynamic feature. Both maps are integrated in an IFNN which is employed to simulate the interactive aspects of two-pathway processing in brain. Selection of attention is accomplished by the interspike interval of the neural network. The experiments results show the effective and efficient performance of the model.

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IEEE Digital Library, DOI

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2009-06-25 User vspyong
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