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一种基于SVM的人形识别算法
引用本文:胡景荣,洪昆,茹华所,汪海涛,陈星.一种基于SVM的人形识别算法[J].昆明理工大学学报(理工版),2010,35(5):70-74.
作者姓名:胡景荣  洪昆  茹华所  汪海涛  陈星
作者单位:[1]昆明市科技情报研究所,云南昆明650021 [2]昆明理工大学云南省计算机重点实验室,云南昆明650051
基金项目:昆明市科技局重大计划项目
摘    要:提出了一种基于SVM(支持向量机)人形识别的算法,通过对静态图像小波变换提取目标的局部形状突变特征,并结合动态帧的步态特征,然后利用支持向量机对小样本进行学习与识别.通过实验验证,该算法具有实时性好、识别率高、可靠性高、适用范围广等特点,以达到实现监控自动化和智能化的目标.

关 键 词:小波变换  步态特征  支持向量机  人形识别

A study of Human Detection Algorithm Based on SVM
HU Jing-rong,HONG Kun,RU Hua-suo,WANG Hai-tao,CHEN Xing.A study of Human Detection Algorithm Based on SVM[J].Journal of Kunming University of Science and Technology(Natural Science Edition),2010,35(5):70-74.
Authors:HU Jing-rong  HONG Kun  RU Hua-suo  WANG Hai-tao  CHEN Xing
Affiliation:1.Kunming Information Institute of Science and Technology,Kunming 650021,China;2.Yunnan Provincial Key Laboratory of Computer Application,Kunming University of Science and Technology,Kunming 650051,China)
Abstract:A human detection algorithm based on SVM(Support Vector Machines) is proposed.The local shape mutation features of the targets are extracted through wavelet transformation of the static image.The features are then combined with the gait feature of the dynamic frame to be studied and recognized by support vector machines.It is proved through experiments that this method has the features of real-time,high accuracy and wide range.
Keywords:wavelet transformation  gait feature  support vector machines  human detection
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