基于支持向量机的行人识别系统

2007 Ph.D Research in Microelectronics and Electronics Conference Pub Date : 2007-07-02 DOI:10.1109/RME.2007.4401836

A. Ghio, S. Pischiutta

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引用次数: 19

摘要

本文提出了一种支持向量机(SVM)的硬件友好型结构，有助于在资源有限的设备(如现场可编程门阵列(fpga))上实现其前馈相位，在这些设备上很少有浮点单元。我们使用汽车应用的人工机器视觉基准数据集测试了我们的建议。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Support Vector Machine based pedestrian recognition system on resource-limited hardware architectures

We present here a hardware-friendly structure for the support vector machine (SVM), useful to implement its feedforward phase on resource limited devices, such as field programmable gate arrays (FPGAs), on which a floating-point unit is seldom available. We tested our proposal using an artificial machine-vision benchmark dataset for automotive applications.

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来源期刊

2007 Ph.D Research in Microelectronics and Electronics Conference

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