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    Journals >Laser & Optoelectronics Progress >Volume 58 >Issue 2 >Page 0210015 > Article
    • Laser & Optoelectronics Progress
    • Vol. 58, Issue 2, 0210015 (2021)
    Pedestrian Detection Based on Combination of Candidate Region Location and HOG-CLBP Features
    Jiao Yao* and Fengqin Yu
    Author Affiliations
  • School of Internet of Things Engineering, Jiangnan University, Wuxi, Jiangsu 214122, China
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    DOI: 10.3788/LOP202158.0210015 Cite this Article Set citation alerts
    Jiao Yao, Fengqin Yu. Pedestrian Detection Based on Combination of Candidate Region Location and HOG-CLBP Features[J]. Laser & Optoelectronics Progress, 2021, 58(2): 0210015 Copy Citation Text show less
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    Article index updated: May. 18, 2024
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    Jiao Yao, Fengqin Yu. Pedestrian Detection Based on Combination of Candidate Region Location and HOG-CLBP Features[J]. Laser & Optoelectronics Progress, 2021, 58(2): 0210015
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    Paper Information
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