基于C4.5决策树的视频车辆车型分类算法

卞建勇; 徐建闽

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基于C4.5决策树的视频车辆车型分类算法

更新时间：2026-09-04

- 基于C4.5决策树的视频车辆车型分类算法
- The Video Vehicle Classification Algorithm Based on C4.5 Decision Trees
- 微电子学与计算机 2017年34卷第5期页码：104-109
- 作者机构：
  
  1. 东莞职业技术学院机构电子工程系,广东,东莞,523808
  2. 华南理工大学,广东,广州,510640
- 作者简介：
- 基金信息：
  
  广东省高等学校优秀青年教师培养计划资助项目 YQ2015231
- DOI：
  中图分类号：
- 纸质出版：2017
- 稿件说明：
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卞建勇, 徐建闽. 基于C4.5决策树的视频车辆车型分类算法[J]. 微电子学与计算机, 2017, 34(5): 104-109.

BIAN Jian-yong, XU Jian-min. The Video Vehicle Classification Algorithm Based on C4.5 Decision Trees[J]. 2017, 34(5): 104-109.
卞建勇, 徐建闽. 基于C4.5决策树的视频车辆车型分类算法[J]. 微电子学与计算机, 2017, 34(5): 104-109. DOI：

BIAN Jian-yong, XU Jian-min. The Video Vehicle Classification Algorithm Based on C4.5 Decision Trees[J]. 2017, 34(5): 104-109. DOI：

摘要

为了克服BP神经网络、支持向量机、K-近邻和贝叶斯等分类器通常存在训练时间长、编程和运算复杂、难以满足实时性等问题

提出了基于C4.5决策树的视频车辆车型分类算法

介绍了层次化分类器设计方法

并以二分"小型车"为"小客车"和"小货车"两类的C4.5决策树的构造为例

对视频车辆车型分类C4.5决策树的构造过程作了详细介绍.最后通过实验证明了该算法进行车型分类的有效性.

Abstract

In order to overcome the BP neural network

support vector machine (SVM)

k nearest neighbor and Bayesian classifications shortcomings which are long training time

complicated programming and operation

bad real-time performance. In this paper

the video vehicle classification algorithm based on C4.5 decision trees is proposed

the design method of the hierarchical classifier is introduced

and the construction process of C4.5 decision trees as an example which was used to divide light-duty vehicle into minibus and van is introduced in detail. Finally

the experimental results demonstrate the effectiveness of the video vehicle classification algorithm based on C4.5 decision trees.

关键词

Keywords

references

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姚亚涛, 邢留涛. 决策树C4.5连续属性分割阂值算法改进及其应用[J]. 中南大学学报(自然科学版), 2011, 42 (12): 372-376. DOI: 372

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