Hardware implementation of a decision tree classifier for object recognition applications

Michal FULARZ; Marek KRAFT

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Hardware implementation of a decision tree classifier for object recognition applications

机译：用于对象识别应用程序的决策树分类器的硬件实现

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摘要

Hardware implementation of a widely used decision tree classifier is presented in this paper. The classifier task is to perform image-based object classification. The performance evaluation of the implemented architecture in terms of resource utilization and processing speed are reported. The presented architecture is compact, flexible and highly scalable and compares favorably to software-only solutions in terms of processing speed and power consumption.

机译：本文提出了一种广泛使用的决策树分类器的硬件实现。分类器任务是执行基于图像的对象分类。报告了在资源利用率和处理速度方面对已实现体系结构的性能评估。所呈现的体系结构紧凑，灵活且高度可扩展，并且在处理速度和功耗方面均优于纯软件解决方案。

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《Pomiary Automatyka Kontrola》 |2015年第7期|379-381|共3页
作者
Michal FULARZ; Marek KRAFT;
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作者单位

POZNAN UNIVERSITY OF TECHNOLOGY, INSTUTUTE OF CONTROL AND INFORMATION ENGINEERING 3a Piotrowo St., 60-965 Poznan;

POZNAN UNIVERSITY OF TECHNOLOGY, INSTUTUTE OF CONTROL AND INFORMATION ENGINEERING 3a Piotrowo St., 60-965 Poznan;

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原文格式 PDF
正文语种 eng
中图分类
关键词
decision tree; hardware implementation; FPGA; object recognition;

机译：决策树;硬件实现;FPGA;物体识别;

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Hardware implementation of a decision tree classifier for object recognition applications

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