一种基于视频分析的异常行为识别算法及应用

An Abnormal Behavior Recognition Algorithm and Application Based on Video Analysis

视频监控作为轨道交通行业一种有效的安全防护手段,利用视频识别算法能抓取乘客的异常行为,帮助工作人员忽略大量无用的信息,更高效地保障旅客安全以及节省大量人力物力去现场巡视。利用视频分析技术,结合计算机的异常行为算法分析,实现异常行为智能判别,有效提升了地铁车站日常运营的安全性,使视频监控更具实用性。

As an effective safety protection method in the rail transit industry,video surveillance can capture the abnormal behavior of passengers by using video recognition algorithms,help staff ignore a lot of useless information,more efficiently ensure the safety of passengers and save a lot of manpower and material resources for on-site inspections. Video analysis technology is used,combined with computer abnormal behavior algorithm analysis,intelligent discrimination of abnormal behavior is realized,the safety of daily operation of subway stations is effectively improved,this makes video surveillance more practical.