Towards Computational Models and Applications of Insect Visual Systems for Motion Perception: A Review

Fu, Qinbing and Wang, Hongxin and Hu, Cheng and Yue, Shigang (2019) Towards Computational Models and Applications of Insect Visual Systems for Motion Perception: A Review. Artificial life, 25 (3). ISSN 1064-5462

Full content URL: https://www.mitpressjournals.org/forthcoming/artl

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Towards Computational Models and Applications of Insect Visual Systems for Motion Perception: A Review

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Abstract

Motion perception is a critical capability determining a variety of aspects of insects' life, including avoiding predators, foraging and so forth. A good number of motion detectors have been identified in the insects' visual pathways. Computational modelling of these motion detectors has not only been providing effective solutions to artificial intelligence, but also benefiting the understanding of complicated biological visual systems. These biological mechanisms through millions of years of evolutionary development will have formed solid modules for constructing dynamic vision systems for future intelligent machines. This article reviews the computational motion perception models originating from biological research of insects' visual systems in the literature. These motion perception models or neural networks comprise the looming sensitive neuronal models of lobula giant movement detectors (LGMDs) in locusts, the translation sensitive neural systems of direction selective neurons (DSNs) in fruit flies, bees and locusts, as well as the small target motion detectors (STMDs) in dragonflies and hover flies. We also review the applications of these models to robots and vehicles. Through these modelling studies, we summarise the methodologies that generate different direction and size selectivity in motion perception. At last, we discuss about multiple systems integration and hardware realisation of these bio-inspired motion perception models.

Keywords:insect visual systems, motion perception models, looming, translation, small targets motion, applications
Subjects:G Mathematical and Computer Sciences > G400 Computer Science
H Engineering > H671 Robotics
G Mathematical and Computer Sciences > G700 Artificial Intelligence
G Mathematical and Computer Sciences > G730 Neural Computing
G Mathematical and Computer Sciences > G740 Computer Vision
Divisions:College of Science > School of Computer Science
ID Code:35584
Deposited On:11 Apr 2019 09:40

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