Classification of Abandoned and Unattended Objects, Identification of Their Owner with Threat Assessment for Visual Surveillance

Terrorism is on an ever-increasing rise and is one of the major threats the world is facing today. Terrorist attacks mostly take place in crowded areas such as railway stations and airports. They involve the use of explosives which are placed inside suspicious abandoned objects like bags, suitcases, etc. In this paper, we are proposing a model that can classify abandoned and unattended objects separately and backtrack to identify the owner as well as find the last known location of the owner in a social environment using visual surveillance feed in real time for rapid alert and action.

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