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Bio-inspired visual attention in agile sensing for target detection
by Jing Liu, Yang Xiao, Qi Hao, Kaveh Ghaboosi
International Journal of Sensor Networks (IJSNET), Vol. 5, No. 2, 2009

 

Abstract: In the context of surveillance, visual attention is referred to as an ability to rapidly locate the most salient or relevant target in biological or artificial vision systems. To support the basic research leading to determination of the principles on which humans and animals accomplish agile sensing, a survey of bio-inspired visual attention in target detection is presented in this paper. We first discuss some relevant fundamental concepts and techniques. Then several up-to-date algorithms and implementations are introduced in either bottom-up or top-down mechanisms. This paper also gives a tutorial for the existing researches and provides future challenges.

Online publication date: Wed, 15-Apr-2009

 

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