Service oriented warning system for detection of abondened object in video surveillance

Video surveillance systems have been used in various applications such as traffic monitoring, detecting military threats and public safety. In this study we present a service oriented real-time automated framework to detect both abandoned objects and video tampering attempts. The technique is based on foreground and background analyses of the images in the videos captured by surveillance cameras. The surveillance cameras are integrated with mobile phones through the standard service interfaces. The real-time surveillance data is sent to mobile phones and analyzed for the threat situations. The real-time alerting system is also employed to inform the operators about the detected threats.