Avian eye-inspired visual attention approach to UAV target detection

被引:1
|
作者
Zhang, Beiwei [1 ]
Cao, Jiangtao [1 ]
Liu, Honghai [2 ]
机构
[1] Liaoning Shihua Univ, Sch Informat & Control Engn, Fushun 113001, Liaoning, Peoples R China
[2] Univ Portsmouth, Portsmouth PO1 2UP, Hants, England
来源
OPTIK | 2017年 / 130卷
关键词
Unmanned air vehicle (UAV); Visual attention; Target detection; Cortex; Contrast; Context; ARTIFICIAL BEE COLONY;
D O I
10.1016/j.ijleo.2016.11.191
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
The purpose of this paper is to propose an avian eye-inspired visual attention approach for unmanned air vehicles (UAV), with the objective of improving the capability of UAV target detection. A visual attention model inspired by the functional architecture of the avian visual system is proposed in this paper. The neuro memetic model employs multiple contrast features as primary channels inspired by the contrast sensitivity of avian retina. The global context strategy is also adopted for focus attention based on the visual mechanisms of tectofugal pathway of avian cortex. Our approach is evaluated through quantitative simulations in various environments. Experimental results demonstrated the feasibility and effectiveness of the proposed method: The proposed method is capable to guarantee efficiency of target localization in the complex environment. (C) 2016 Elsevier GmbH. All rights reserved.
引用
收藏
页码:1205 / 1213
页数:9
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