Retinal ganglion cell software and FPGA model implementation for object detection and tracking
Retinal ganglion cell software and FPGA model implementation for object detection and tracking
复制标题
用于物体检测和跟踪的视网膜神经节细胞软件和 FPGA 模型实现
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
A. Linares
中科院分区：
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作者：
Diederik Paul Moeys;T. Delbrück;A. Rios;A. Linares
本文介绍了一种检测运动物体的视网膜神经节细胞模型的软件和FPGA实现。它示出了如何处理，结合动态视觉传感器作为其输入，可以用来推断有关对象位置的信息。在软件方面，已经开发了基于这些RGC阵列的系统，以获得多达两个跟踪器。这些可以从静止的观察者跟踪场景中的对象，并且在相机扫视运动发生时被抑制。整个处理平均需要1000 ns/事件。这种机制的简化版本，平均延迟为330 ns/事件，在50 MHz，也已在Spartan 6 FPGA中实现。
This paper describes the software and FPGA implementation of a Retinal Ganglion Cell model which detects moving objects. It is shown how this processing, in conjunction with a Dynamic Vision Sensor as its input, can be used to extrapolate information about object position. Software-wise, a system based on an array of these of RGCs has been developed in order to obtain up to two trackers. These can track objects in a scene, from a still observer, and get inhibited when saccadic camera motion happens. The entire processing takes on average 1000 ns/event. A simplified version of this mechanism, with a mean latency of 330 ns/event, at 50 MHz, has also been implemented in a Spartan6 FPGA.