Universidad de Valladolid, Dpto. TSyCeIT, ETSIT, Paseo de Belén 15, Valladolid 47011, Spain.
Sensors (Basel). 2012;12(8):10407-29. doi: 10.3390/s120810407. Epub 2012 Aug 2.
This paper presents a proposal of an intelligent video surveillance system able to detect and identify abnormal and alarming situations by analyzing object movement. The system is designed to minimize video processing and transmission, thus allowing a large number of cameras to be deployed on the system, and therefore making it suitable for its usage as an integrated safety and security solution in Smart Cities. Alarm detection is performed on the basis of parameters of the moving objects and their trajectories, and is performed using semantic reasoning and ontologies. This means that the system employs a high-level conceptual language easy to understand for human operators, capable of raising enriched alarms with descriptions of what is happening on the image, and to automate reactions to them such as alerting the appropriate emergency services using the Smart City safety network.
本文提出了一种智能视频监控系统的提案,该系统能够通过分析物体运动来检测和识别异常和报警情况。该系统旨在最小化视频处理和传输,从而允许在系统上部署大量摄像机,因此使其适合用作智能城市的综合安全和安保解决方案。报警检测是基于移动对象及其轨迹的参数进行的,并使用语义推理和本体进行。这意味着系统采用了易于操作人员理解的高级概念语言,能够用图像上发生的事情的描述来发出丰富的警报,并实现对这些警报的自动化反应,例如使用智能城市安全网络向适当的应急服务发出警报。