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.
作者
钟乐海
李礁
包晓安
邢伟寅
韩正勇
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)
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)。
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
public safety
intelligent monitoring
identity authentication
target tracking
behavioral analysis
abandoned detection
