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基于边缘对称性和HOG的行人检测方法
引用本文:姚雪琴,李晓华,周激流.基于边缘对称性和HOG的行人检测方法[J].计算机工程,2012,38(5):179-182.
作者姓名:姚雪琴  李晓华  周激流
作者单位:1. 四川大学电子信息学院
2. 四川大学计算机学院,成都,610065
基金项目:四川省科技支撑计划基金
摘    要:传统基于HOG特征的行人检测方法存在检测速度慢的问题。为此,提出一种基于边缘对称性和HOG的行人检测方法。利用对称差分提取输入窗口的垂直边缘,根据垂直边缘的对称性快速检测出行人候选区,采用HOG特征和线性支持向量机对行人候选区进行验证。实验结果表明,该方法在保持传统方法检测率的同时,能提高检测速度。

关 键 词:行人检测  对称差分  垂直边缘  边缘对称性  HOG特征  线性支持向量机  十折交叉验证
收稿时间:2011-09-26

Pedestrian Detection Method Based on Edge Symmetry and HOG
YAO Xue-qin , LI Xiao-hua , ZHOU Ji-liu.Pedestrian Detection Method Based on Edge Symmetry and HOG[J].Computer Engineering,2012,38(5):179-182.
Authors:YAO Xue-qin  LI Xiao-hua  ZHOU Ji-liu
Affiliation:b(a.College of Electronics and Information Engineering;b.College of Computer Science,Sichuan University,Chengdu 610065,China)
Abstract:The detection speed of traditional pedestrian detection method based on Histograms of Oriented Gradient(HOG) feature is slow.In order to detect pedestrian faster,a pedestrian detection method based on edge symmetry and HOG is proposed.Symmetric difference is used to extract the vertical edge of the input window.Candidate pedestrians can be detected rapidly according to the symmetry of the vertical edge.Candidate pedestrians are validated by using HOG feature and linear Support Vector Machine(SVM).Experimental results show that the proposed method can increase the detection speed while maintaining the comparable detection rate to the traditional method based on HOG feature.
Keywords:pedestrian detection  symmetric difference  vertical edge  edge symmetry  Histograms of Oriented Gradient(HOG) feature  linear Support Vector Machine(SVM)  10-fold cross-validation
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