Dpto. TSyCeIT, ETSIT, Universidad de Valladolid, Paseo de Belén 15, Valladolid 47011, Spain.
Sensors (Basel). 2013 Jun 7;13(6):7414-42. doi: 10.3390/s130607414.
This paper presents an intelligent surveillance platform based on the usage of large numbers of inexpensive sensors designed and developed inside the European Eureka Celtic project HuSIMS. With the aim of maximizing the number of deployable units while keeping monetary and resource/bandwidth costs at a minimum, the surveillance platform is based on the usage of inexpensive visual sensors which apply efficient motion detection and tracking algorithms to transform the video signal in a set of motion parameters. In order to automate the analysis of the myriad of data streams generated by the visual sensors, the platform's control center includes an alarm detection engine which comprises three components applying three different Artificial Intelligence strategies in parallel. These strategies are generic, domain-independent approaches which are able to operate in several domains (traffic surveillance, vandalism prevention, perimeter security, etc.). The architecture is completed with a versatile communication network which facilitates data collection from the visual sensors and alarm and video stream distribution towards the emergency teams. The resulting surveillance system is extremely suitable for its deployment in metropolitan areas, smart cities, and large facilities, mainly because cheap visual sensors and autonomous alarm detection facilitate dense sensor network deployments for wide and detailed coverage.
本文提出了一个基于大量廉价传感器的智能监控平台，这些传感器是在欧洲尤里卡凯尔特项目 HuSIMS 内部设计和开发的。该监控平台旨在最大限度地增加可部署单元的数量，同时将货币和资源/带宽成本保持在最低水平，它基于使用廉价的视觉传感器，这些传感器应用高效的运动检测和跟踪算法将视频信号转换为一组运动参数。为了自动分析视觉传感器生成的海量数据流，平台的控制中心包括一个报警检测引擎，该引擎由三个组件组成，它们并行应用三种不同的人工智能策略。这些策略是通用的、与领域无关的方法，能够在多个领域（交通监控、防破坏、周界安全等）中运行。该架构还配备了一个通用的通信网络，该网络便于从视觉传感器收集数据，并将报警和视频流分发到应急小组。由此产生的监控系统非常适合在城市地区、智能城市和大型设施中部署，主要是因为廉价的视觉传感器和自主报警检测方便了密集传感器网络的部署，从而实现了广泛而详细的覆盖。
