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

  • Harsh Agarwal
  • Gursimar SinghEmail author
  • Mohammed Arshad Siddiqui
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1022)

Abstract

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.

Keywords

Video surveillance Human detection and tracking Background modeling Foreground analysis Scene perception 

Notes

Acknowledgements

We thank Mr. Anuj Khare, Mr. Chinmay Swaroop Saini, and Mr. Harshit Choubey (Undergraduate Students at IIITDM Jabalpur) for helping us in creating our own dataset. The videos in the dataset were shot at IIITDM Jabalpur campus not violating any ethical obligation and feature the above mentioned volunteers and authors with their consent.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.PDPM Indian Institute of Information Technology Design & Manufacturing JabalpurJabalpurIndia

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