DocumentCode
478494
Title
A Visual Attention Model for Dynamic Scenes Based on Two-Pathway Processing in Brain
Author
Chen, Jiawei ; Zhou, Changle ; Lin, Kunhui ; Qu, Yanyun
Author_Institution
Inst. of Artificial Intell., Xiamen Univ., Xiamen
Volume
6
fYear
2008
fDate
18-20 Oct. 2008
Firstpage
128
Lastpage
132
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.
Keywords
neural nets; vision; dynamic scenes; motion conspicuity map; neural network; saliency map; two-pathway brain processing; visual attention model; Artificial intelligence; Biological neural networks; Biological system modeling; Brain modeling; Computational modeling; Computer networks; Humans; Layout; Motion measurement; Visual system; salient region; visual attention; visual saliency;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location
Jinan
Print_ISBN
978-0-7695-3304-9
Type
conf
DOI
10.1109/ICNC.2008.392
Filename
4667815
Link To Document