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A TWO-CHANNEL ARTIFICIAL VISION SYSTEM FOR MOTION ANALYSIS

机译:用于运动分析的两通道人工视觉系统

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In this paper we present a working vision system for estimating size, location and motion of an object by using a set of randomly distributed receptive fields on a retina. The approach used here differs from more conventional ones in which the receptive fields are arranged in a geometric pattern. From the input level, computations are performed in parallel in two different channels: one for purely spatial properties, the other for time-space analysis, and are then used at a subsequent level to yield estimates of the size and centre of gravity of an object and the speed and direction of motion. Movement analysis refining is implemented by a lateral interaction (spatial) and memory (temporal) schemes in which direction and speed are used to build a trajectory. The different parameters involved (receptive field size, memory weighting function, number of cells) are tested for different speeds and the results compared, yielding new insights on the functioning of the living retina and suggesting ideas for improving the artificial system.
机译:在本文中,我们提出了一种工作视觉系统,用于通过使用视网膜上的一组随机分布的接收场来估计对象的大小,位置和运动。此处使用的方法与更传统的方法不同,在传统方法中,接收场以几何图案排列。从输入级别开始,在两个不同的通道中并行执行计算:一个用于纯粹的空间属性,另一个用于时空分析,然后在随后的级别使用以得出对象的大小和重心的估计值以及运动的速度和方向。运动分析的细化是通过横向交互(空间)和内存(时间)方案实现的,其中使用方向和速度来构建轨迹。针对不同的速度测试了涉及的不同参数(感受野大小,记忆加权功能,细胞数量),并对结果进行了比较,从而对活体视网膜的功能产生了新的见解,并提出了改善人工系统的想法。

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