摘要
基于人脸识别技术的智能视频监控系统是安防领域的研究热点。针对现有安防产品使用场景受限,部署和使用不够灵活,性能受限等问题,设计并实现了一套基于人脸识别技术的智能视频监控系统。文章介绍了智能视频监控系统总体框架和算法流程的设计;分析了系统核心算法——人脸检测和人脸识别,做出了有针对性的优化设计;阐述了系统的实现方案。实验结果表明,该系统在人脸检测、人脸识别等的各类指标上均具有很强的竞争力,能满足具有前后门的会堂、剧院、仓库等大型场所的安防需求。
The intelligent video surveillance system based on face recognition is a hot research issue in the security field. Aiming at the problems of existing security products, which have limited use scenarios, inflexible deployment and use, and limited performance, an intelligent video surveillance system using face recognition technology is designed and implemented. This paper introduces the design of overall framework and algorithm flow of intelligent video surveillance system, analyses the core algorithm of the system, the face detection and face recognition, makes targeted optimization design, and expounds the implementation scheme of the system. The experimental results show that the proposed system has strong competitiveness in various aspects, such as face detection and face recognition, and meets the security requirements of large venues such as warehouses, theaters, and halls with front and rear doors.
作者
吴松伟
WU Songwei(Investigation Technology Room of Air Force Political Work Department, Beijing 100843, China)
出处
《计算机时代》
2019年第11期62-66,共5页
Computer Era
关键词
视频监控
人脸检测
人脸识别
人脸属性
video monitoring
face detection
face recognition
face attribute
