An Intelligent Surveillance Platform for Large Metropolitan Areas with Dense Sensor Deployment

Abstract

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.

Dual frame rate motion detection for memory- and energy-constrained surveillance systems

“…Eq. (5) according to the models and actual results for a single frame rate and dual frame rate system are given in Figure 4. Note that if no motion detection is used then the number of frames recorded per second will be 30.…”

“…Troops in stranded locations can be managed or monitored through surveillance cameras [2,3,4]. Video surveillance has numerous civilian applications as well, such as home security, curbing criminal activities in urban areas [5], wild-life monitoring. Blackbox systems are commonly used to store videos for gathering evidences against crimes and for future planning against natural or unnatural hazards.…”

An Innovative System to Detect Obstacles on Rail Tracks

“…Nowadays, there is a very strong tendency to move from single sensor solutions (implemented and tested in the past) to a combination of several sensors. This strategy shall help combine advantages and disregard disadvantages from two or more technologies (Fernández, 2013). The solution described in this paper is based on a dual-sensor approach comprising video cameras with image processing and laser scanner technology.…”

Simple Design of Wireless Sensor Networks for Traffic Jams Avoidance

“…The common approach to tackle the traffic surveillance is an exhaustive monitoring of vehicles [2][3][4] including counting them, the estimation of the speed [5], the weight, the type of vehicle, and even the number of people inside them [6]. For these purposes, most conventional traffic surveillance systems use intrusive sensors that need to be inserted somehow into the road for monitoring.…”