| 公共安全智能监控平台关键技术 |
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| 引用本文： | 钟乐海.公共安全智能监控平台关键技术[J].兵工自动化,2021,40(11):60-65,77. |
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| 作者姓名： | 钟乐海 |
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| 作者单位： | 绵阳职业技术学院电子与信息学院,四川 绵阳 621000;西华师范大学计算机学院,四川 南充 637002;绵阳职业技术学院电子与信息学院,四川 绵阳 621000;浙江理工大学信息学院,杭州 310018 |
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| 基金项目： | 四川省科技计划重点研发项目(2019YFG0112)；浙江省科技计划重大科技专项重点工业项目(2014C01047)；四川省科技攻关项
目(05GG009-18) |
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| 摘 要： | 为构建安全可靠的公共安全智能监控平台,从认证、跟踪、识别3个方面对其进行研究.应用人脸活体检测、指静脉识别、长期行人跟踪、人体行为分析、遗留物检测等方法,并采用分布式系统架构构建公共安全智能监控平台.应用结果表明:该应用能提升公共场所背景下身份认证,智能视频监控目标跟踪与行为分析,遗留物检测的鲁棒性、准确性和实时性.
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| 关 键 词： | 公共安全 智能监控 身份认证 目标跟踪 行为分析 遗留物检测 |
| 收稿时间： | 2021/9/6 0:00:00 |
| 修稿时间： | 2021/10/10 0:00:00 |
Key Technologies of Public Security Intelligent Monitoring Platform |
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| Zhong Lehai,Li Jiao,Bao Xiaoan,Xing Weiyin,Han Zhengyong,Luo Jinsheng.Key Technologies of Public Security Intelligent Monitoring Platform[J].Ordnance Industry Automation,2021,40(11):60-65,77. |
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| Authors: | Zhong Lehai Li Jiao Bao Xiaoan Xing Weiyin Han Zhengyong Luo Jinsheng |
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| Abstract: | In order to build a safe and reliable public security intelligent monitoring platform, it is studied from 3
aspects: authentication, tracking and identification. The intelligent monitoring platform for public safety is constructed by
using the methods of face bio-assay, finger vein recognition, long-term pedestrian tracking, human behavior analysis and
legacy detection, and using the distributed system architecture. The application results show that the application improves
the robustness, accuracy and real-time of identity authentication, intelligent video surveillance target tracking and behavior
analysis, and legacy detection in public places. |
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| Keywords: | public safety intelligent monitoring identity authentication target tracking behavioral analysis abandoned detection |
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