Bioinspired Motion Detection Based on an FPGA Platform

Köhler, Tim

doi:10.1002/9783527680863.ch17

Cited by 3 publications

(1 citation statement)

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“…On the other hand, the high-performance solutions aim to capture images from commercial cameras with high resolution and high frame rate, and to be established the signal processing within the FPGA [247,132,119] or even the application specific integrated circuits (ASICs). Due to the feature that data array can be dealt in parallel, the total frame rate can reach even up to 350 fps at the resolution of 256 × 256 [247], or 5 kHz with 12 photo-diodes [7].…”

Section: Hardware Realisation Of Insect Motion Perception Modelsmentioning

confidence: 99%

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

Wang

et al. 2019

Artificial Life

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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.

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Section: Hardware Realisation Of Insect Motion Perception Modelsmentioning

confidence: 99%