Visual surveillance with sensor network for accident detection

This paper describes an autonomous monitoring system to detect environmental accidents such as fire and gas leaks. This system is designed as a set of sensor nodes mounted on statical and dynamical objects and connected via a wireless network. Each sensor node measures such important environmental parameters as temperature, humidity, poisonous gases concentration, etc. Video surveillance is used to increase the probability the accident is detected. The fire detection vision technique based on the color information and flame behavior properties is used. Video stream is distributed via the Internet and can be viewed on a personal computer (PC) and on a mobile device. The graphical user interface (GUI) based on the sensor network and vision data helps an operator to make correct inference about the threat level.