Event-Based Eccentric Motion Detection Exploiting Time Difference Encoding
Event-Based Eccentric Motion Detection Exploiting Time Difference Encoding
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DOI：
10.3389/fnins.2020.00451
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发表时间：
2020-05-08
影响因子：
4.3
通讯作者：
Bartolozzi, Chiara
中科院分区：
文献类型：
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作者：
D'Angelo, Giulia;Janotte, Ella;Bartolozzi, Chiara
注意选择性倾向于跟随被认为是有趣的刺激的事件。事实上，存在于环境中的视觉刺激的运动吸引了我们的注意，并允许我们与周围环境做出反应和互动。对于视觉输入的高信息量，从环境中提取相关运动信息提出了挑战。在这项工作中，我们提出了一种新颖的整合方法，即从哺乳动物视网膜中不同大小的感受野(RF)获得灵感，对视野进行偏心下采样，并与尖峰基本运动检测器(SEMD)模型相结合。我们利用仿生事件驱动摄像机采集的模拟数据和真实数据表征了系统的功能，成功地实现了沿四个基本方向和对角方向的运动检测。
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.