Human detection using HOG-HSC feature and PLS

被引：1

作者：

HU Bin ZHAO Chunxia YUAN Xia and SUN Ling School of Computer Science and TechnologyNanjing University of Science and TechnologyNanjing China China North OpticalElectrical Technology CoLtdBeijing China ^{[1
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机构：

来源：

Computer Aided Drafting,Design and Manufacturing | 2012年 / 03期

关键词：

human detection; HOG; HSC; SVM;

D O I：

10.19583/j.1003-4951.2012.03.008

中图分类号：

TP391.41 [];

学科分类号：

080203 ;

摘要：

By combining histogram of oriented gradient and histograms of shearlet coefficients,which analyzes images at multiple scales and orientations based on shearlet transforms,as the feature set,we proposed a novel human detection feature.We employ partial least squares analysis,an efficient dimensionality reduction technique,to project the feature onto a much lower dimensional subspace.We test it in INRIA person dataset by using a linear SVM,and it yields an error rate of 1.38% with a false negatives(FN) rate of 0.40% and a false positive(FP) rate of 0.98%,while the error rate of HOG is 7.11%,with a FN rate of 4.09% and a FP rate of 3.02%.

引用

页码：61 / 64

页数：4