计算机工程2012，Vol.38Issue(5)：179-182,4.
基于边缘对称性和HOG的行人检测方法
Pedestrian Detection Method Based on Edge Symmetry and HOG
摘要
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.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Key words
pedestrian detection/ symmetric difference/vertical edge/edge symmetry/Histograms of Oriented Gradient(HOG) feature/linear Support Vector Machine(SVM)/10-fold cross-validation分类
信息技术与安全科学引用本文复制引用
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):179-182,4.基金项目
四川省科技支撑计划基金资助项目(2011GZ0187) （2011GZ0187）
