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作 者:张燕[1] ZHANG Yan(Communication&Signaling Design and Research Institute,China Railway Eryuan Engineering Group Co.,Ltd.,Chengdu Sichuan 610031,China)
机构地区:[1]中铁二院工程集团有限责任公司通信信号设计研究院,四川成都610031
出 处:《中国铁路》2023年第4期124-129,共6页China Railway
摘 要:铁路客站传统安防系统属于被动式防御,措施相对乏力。基于深度学习的人像视频动态识别系统化被动为主动,采用人像视频动态识别技术对人群中重点人员进行主动识别、提前管控,更有效地实现“查缉追逃、反恐防暴、刑侦破案、治安管控、服务旅客”等功能。以某铁路客站人像视频动态识别系统设计为例,探讨人像视频动态识别技术的应用方案,为铁路客站安防系统优化设计与应用提供借鉴。The traditional security system of railway passenger stations belongs to passive defense whose countermeasures are relatively weak.The portrait video dynamic recognition system based on in-depth learning features active defense instead of passive one,adopting the dynamic recognition technology of portrait video to actively identify and control key people in the crowd in advance,which realizes the functions of“seeking and seizing criminal,anti-terrorism and riot prevention,criminal investigation and case solving,public security control and serving passengers”in a more effective fashion.Taking the design of portrait video dynamic recognition system at railway passenger station as an example,this paper discusses the application scheme of portrait video dynamic recognition technology,which provides a reference for the optimization design and application of security system for railway passenger stations.
关 键 词:铁路客站 安防系统 人像视频 动态识别 人像分析一体机
分 类 号:U298[交通运输工程—交通运输规划与管理]
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