公共安全智能监控平台关键技术  

Key Technologies of Public Security Intelligent Monitoring Platform

作　　者：钟乐海 李礁[1] 包晓安[2] 邢伟寅[1] 韩正勇[1] 罗金生 Zhong Lehai;Li Jiao;Bao Xiaoan;Xing Weiyin;Han Zhengyong;Luo Jinsheng(School of Electronics&Information,Mianyang Polytechnic,Mianyang 621000,China;School of Information&Technology,Zhejiang Sci-Tech University,Hangzhou 310018,China;School of Computer Science,China West Normal University,Nanchong 637002,China)

机构地区：[1]绵阳职业技术学院电子与信息学院,四川绵阳621000 [2]浙江理工大学信息学院,杭州310018 [3]西华师范大学计算机学院,四川南充637002

出　　处：《兵工自动化》2021年第11期60-65,77,共7页Ordnance Industry Automation

基　　金：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)。

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。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.

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 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]