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Event-Based Eccentric Motion Detection Exploiting Time Difference Encoding
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DOI：10.3389/fnins.2020.00451.png)
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Abstract
En 中文
Attentional selectivity tends to follow events considered as interesting stimuli. Indeed, the motion of visual stimuli present in the environment attract our attention and allow us to react and interact with our surroundings. Extracting relevant motion information from the environment presents a challenge with regards to the high information content of the visual input. In this work we propose a novel integration between an eccentric down-sampling of the visual field, taking inspiration from the varying size of receptive fields (RFs) in the mammalian retina, and the Spiking Elementary Motion Detector (sEMD) model. We characterize the system functionality with simulated data and real world data collected with bio-inspired event driven cameras, successfully implementing motion detection along the four cardinal directions and diagonally.
Keywords:
attentional selectivity
motion detection
eccentric down-sampling
spiking elementary motion detection
bio-inspired visual system
humanoid robotics
event driven
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