| 基于人体检测理论的室内智能监控系统 |
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| 引用本文： | 陈良仁,潘泉松,侯北平.基于人体检测理论的室内智能监控系统[J].浙江科技学院学报,2012(4):297-302. |
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| 作者姓名： | 陈良仁 潘泉松 侯北平 |
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| 作者单位： | 浙江科技学院自动化与电气工程学院 |
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| 基金项目： | 浙江省公益性技术应用研究计划项目(2011C31014);浙江科技学院学科交叉预研项目(2010JC02Y) |
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| 摘 要： | 智能监控已随着社会发展成为主流,但当前智能监控系统的人体检测模块尚不能满足实时检测要求。为解决这一问题,结合梯度方向直方图特征和SVM(支持向量机)级联分类器,提出室内监控系统的人体检测策略,并基于以太网平台,实现远程实时室内监控。实验结果表明,该监控系统精度较高、速度较快,能在实时人体检测的基础上进行预警,达到了智能监控的目的。
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| 关 键 词： | 人体检测 梯度方向直方图 支持向量机 级联分类器 |
Indoor smart surveillance system based on human detection theory |
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| CHEN Liang-ren,PAN Quan-song,HOU Bei-ping.Indoor smart surveillance system based on human detection theory[J].Journal of Zhejiang University of Science and Technology,2012(4):297-302. |
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| Authors: | CHEN Liang-ren PAN Quan-song HOU Bei-ping |
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| Institution: | (School of Automation and Electrical Engineering,Zhejiang University of Science and Technology,Hangzhou 310023,China) |
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| Abstract: | In order to solve the problem that existing intelligent surveillance system cannot detect humans well in real time,we incorporate histograms of oriented gradients(HOG) features with SVM(support vector machine) cascade classifiers to speed up detection process.Besides,based on Ethernet platform,this system has the ability of remote indoor monitoring.The experiments show that this surveillance system can process frames at relatively high detection speed and detection precision,basically realizing real-time human detection function. |
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| Keywords: | human detection histograms of oriented gradients SVM cascade classifier |
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