| 基于深度学习SSD模型的人数统计技术 |
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| 引用本文： | 李钰,段明秀,宋思思,李翅. 基于深度学习SSD模型的人数统计技术[J]. 吉首大学学报(自然科学版), 2000, 41(2): 19. DOI: 10.13438/j.cnki.jdzk.2020.02.005 |
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| 作者姓名： | 李钰 段明秀 宋思思 李翅 |
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| 作者单位： | (吉首大学信息科学与工程学院，湖南 吉首 416000) |
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| 基金项目： | 吉首大学大学生研究性学习和创新性实验课题（JDCX2018034）；吉首大学校级科研项目（JDX15） |
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| 摘 要： | 基于深度学习SSD模型，将检测目标的类别由20类修改为只检测人的单类，并对比了同一检测任务下2个模型的检测效果.实验结果表明，在对人的检测任务中，单类目标的SSD模型的检测效果优于20类目标的SSD模型.
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Design and Implementation of People Counting System Based on Deep Learning SSD Model |
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| LI Yu,DUAN Mingxiu,SONG Sisi,LI Chi. Design and Implementation of People Counting System Based on Deep Learning SSD Model[J]. Journal of Jishou University(Natural Science Edition), 2000, 41(2): 19. DOI: 10.13438/j.cnki.jdzk.2020.02.005 |
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| Authors: | LI Yu DUAN Mingxiu SONG Sisi LI Chi |
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| Affiliation: | (College of Information Science and Engineering, Jishou University, Jishou 416000, Hunan China) |
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| Abstract: | Based on the deep learning SSD model, twenty categories detection targets are reduced to single category which only detects human, and the detection results of the two models of the same detection task are compared. The experimental results show that, for the human detection task, the detection effect of the SSD model of a single target is better than the SSD model of 20 targets. |
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| Keywords: | deep learning SSD convolutional neural network people counting |
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