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

基于粒子群算法和云模型的车型识别

Vehicle Recognition Based on Particle Swarm Optimization and Cloud Mode

  • 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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