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。
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.
出处
《计算机工程》
CAS
CSCD
2012年第5期179-182,共4页
Computer Engineering
基金
四川省科技支撑计划基金资助项目(2011GZ0187)
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
pedestrian detection
symmetric difference
vertical edge
edge symmetry
Histograms of Oriented Gradient（HOG） feature
linear Support Vector Machine（SVM）
10-fold cross-validation
