基于视频流分析的重点区域异常行为监测平台
Abnormal Behavior Monitoring Platform for Key Areas Based on Video Stream Analysis
范颖晨 1褚治广 2李启龙3
作者信息
- 1. 辽宁工业大学 电子与信息工程学院,辽宁 锦州 121001
- 2. 辽宁工业大学 工程实践教学部,辽宁 锦州 121001
- 3. 凌海供电有限责任公司,辽宁 锦州 121001
- 折叠
摘要
为解决目前监测平台所存在的监控时效性低、预警单一性、设备部署繁琐等问题,设计了一种基于视频流分析的重点区域异常行为监测平台.该平台通过对监控视场感兴趣区域的划定、应用目标团块和轨迹分析等方法,主动对视频监控范围内所有人的行为进行分析,并提前预警异常行为,有效实施防范措施.通过这种创新的监测平台,能够优化监控时效性,提供多样化的预警功能,并简化设备部署流程.为重点区域的异常行为监测提供更高效、准确的解决方案,进一步提升关键区域的安全性.
Abstract
In order to solve the problems of low monitoring timeliness,single warning,and cumbersome equipment deployment in the current monitoring platform,a monitoring platform for abnormal behavior in key areas based on video flow analysis was designed.Through the demarcation of the region of interest in the monitoring field of view,the application of target block and trajectory analysis methods,the platform actively analyzes the behavior of all people within the video monitoring range,and provides abnormal behavior warning in advance,effectively implementing preventive measures.Through this innovative monitoring platform,the monitoring timeliness can be optimized,diversified warning functions can be provided,and the equipment deployment process can be simplified.It provides more efficient and accurate solutions for abnormal behavior monitoring in key areas,and further enhances the security of key areas.
关键词
监测平台/视频流/感兴趣区域/目标团块/轨迹分析Key words
monitoring platform/video streaming/ROI/target agglomeration/trajectory analysis引用本文复制引用
出版年
2024
NETL
NSTL
万方数据