Vehicle Recognition Based on Particle Swarm Optimization and Cloud Mode

TANG Zhao-xia; YU Yang-xin; ZHANG Yue

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Vehicle Recognition Based on Particle Swarm Optimization and Cloud Mode

更新时间：2026-09-04

- Vehicle Recognition Based on Particle Swarm Optimization and Cloud Mode
- Vol. 30, Issue 11, Pages: 80-83(2013)
- 作者机构：
  
  淮阴工学院机构计算机工程学院,江苏,淮安,223003
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2013
- 稿件说明：
移动端阅览
唐朝霞, 俞扬信, 张粤. 基于粒子群算法和云模型的车型识别[J]. 微电子学与计算机, 2013, 30(11): 80-83.

TANG Zhao-xia, YU Yang-xin, ZHANG Yue. Vehicle Recognition Based on Particle Swarm Optimization and Cloud Mode[J]. 2013, 30(11): 80-83.
唐朝霞, 俞扬信, 张粤. 基于粒子群算法和云模型的车型识别[J]. 微电子学与计算机, 2013, 30(11): 80-83. DOI：

TANG Zhao-xia, YU Yang-xin, ZHANG Yue. Vehicle Recognition Based on Particle Swarm Optimization and Cloud Mode[J]. 2013, 30(11): 80-83. DOI：

摘要

分析了车辆的大小、形状和边缘特征，将粒子群算法和云模型理论具体运用到车型识别问题中。通过粒子群编码，设计适应值函数，然后训练样本，通过5类车型的云模型参数和属性相似度计算各特征的在分类中的权值，然后通过单分类器和多分类器进行车型识别，车型分类效果较好。

Abstract

Vehicle classes are recognized according to Particle Swarm Optimization and cloud mode theory.Vehicle features

such as vehicle size

shape information and edge feature are extracted for PSO training.Through cloud model parameters and the attribute similarity of five kind of vehicle calculate various characteristics weight

then carries vehicle recognition by the single sorter and the multi-sorters

the vehicle classification effect is good.

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