Service Oriented Warning System for Detection of Abondened Object in Video Surveillance

Abstract— 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.

 

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