Automatic Intruder Combat System: A way to Smart Border Surveillance

Dushyant Kumar Singh; Dharmender Singh Kushwaha

doi:10.14429/dsj.67.10286

Dushyant Kumar Singh Department of Computer Science and Engineering, MNNIT Allahabad, Allahabad
Dharmender Singh Kushwaha Department of Computer Science and Engineering, MNNIT Allahabad, Allahabad

DOI: https://doi.org/10.14429/dsj.67.10286

Keywords: Border Surveillance, Intruders, Human detection, Fence detection, Combat, Optical flow

Abstract

Security and safeguard of international borders have always been a dominant issue for every nation. A large part of a nation’s budget is provided to its defense system. Besides wars, illegal intrusion in terms of terrorism is a critical matter that causes severe harm to nation’s property. In India’s perspective, border patrolling by Border Security Forces (BSF) has already been practiced from a long time for surveillance. The patrolling parties are equipped with high-end surveillance equipments but yet an alternative to the ply of huge manpower and that too in harsh environmental conditions hasn’t been in existence. An automatic mechanism for smart surveillance and combat is proposed in this paper as a solution to the above-discussed problems. Smart surveillance requires automatic intrusion detection in the surveillance video, which is achieved by using optical flow information as motion features for intruder/human in the scene. The use of optical flow in the proposed smart surveillance makes it robust and more accurate. Use of a simple horizontal feature for fence detection makes system simple and faster to work in real-time. System is also designed to respond against the activities of intruders, of which auto combat is one kind of response.

Author Biographies

Dushyant Kumar Singh, Department of Computer Science and Engineering, MNNIT Allahabad, Allahabad

Mr Dushyant Kumar Singh did his MTech from AMU Aligarh, in 2010 and currently pursuing his PhD from MNNIT Allahabad. Presently working as an Assistant Professor, at Department of CSE, MNNIT Allahabad, Allahabad, India. Research Areas: Computer vision, embedded system design, advance architectures.

Dharmender Singh Kushwaha, Department of Computer Science and Engineering, MNNIT Allahabad, Allahabad

Dr Dharmender Singh Kushwaha did his MTech and PhD from MNNIT Allahabad. Presently he is working as an Associate Professor, at Department of CSE, MNNIT Allahabad, Allahabad, India. Research areas: Distributed systems, cloud computing, computer vision and data structures

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