HOG-LBP pedestrian detection

Yan, 黄炎 Huang; Ci-en, 范赐恩 Fan; Qiu-ping, 朱秋平 Zhu; Hu, 张虎 Zhang; De-xiang, 邓德祥 Deng

doi:10.3788/ope.20132104.1047

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Hog-lbp Joint Histogram1

Introduction1

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Cited by 4 publications

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“…Finally, combine the reduced dimension HOG and LBP histogram to form the joint histogram [21] , as is shown in Figure11. …”

Section: Hog-lbp Joint Histogrammentioning

confidence: 99%

An Automatic Method for Detecting Side Frame Key Using Histogram of Oriented Gradient and Local Binary Pattern

Zhang¹,

Wang²,

Feng³

et al. 2017

IJCA

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“…Finally, combine the reduced dimension HOG and LBP histogram to form the joint histogram [21] , as is shown in Figure11. …”

Section: Hog-lbp Joint Histogrammentioning

confidence: 99%

An Automatic Method for Detecting Side Frame Key Using Histogram of Oriented Gradient and Local Binary Pattern

Zhang¹,

Wang²,

Feng³

et al. 2017

IJCA

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show abstract

“…The image feature extracting method combined both Bi-dimensional empirical mode decomposition (BEMD) and LBP [9] . Huang et al [10] combined segmented LBP features with Histogram of Gradients (HOG) for improving pedestrian tracking accuracy. These methods in literature addressed the limitation of basic LBP to a certain extend by combining LBP with alternative features to enrich the template characterization.…”

Section: Introductionmentioning

confidence: 99%