Automated Intruder Detection from Image Sequences using Minimum Volume Sets

Authors

  • Tarem Ahmed, Xianglin Wei, Supriyo Ahmed and Al-Sakib Khan Pathan International Islamic University Malaysia (IIUM)

DOI:

https://doi.org/10.17762/ijcnis.v4i1.88

Abstract

We propose a new algorithm based on machine learning techniques for automatic intruder detection in surveillance networks.  The algorithm is theoretically founded on the concept of minimum volume sets.  Through application to image sequences from two different scenarios and comparison with some existing algorithms, we show that it is possible for our proposed algorithm to easily obtain high detection accuracy with low false alarm rates.

Author Biography

Tarem Ahmed, Xianglin Wei, Supriyo Ahmed and Al-Sakib Khan Pathan, International Islamic University Malaysia (IIUM)

Al-Sakib Khan Pathan received Ph.D. degree in Computer Engineering in 2009 from Kyung Hee University, South Korea. He received B.Sc. degree in Computer Science and Information Technology from Islamic University of Technology (IUT), Bangladesh in 2003. He is currently an Assistant Professor at Computer Science department in International Islamic University Malaysia (IIUM), Malaysia. Till June 2010, he served as an Assistant Professor at Computer Science and Engineering department in BRAC University, Bangladesh. Prior to holding this position, he worked as a Researcher at Networking Lab, Kyung Hee University, South Korea till August 2009. His research interest includes wireless sensor networks, network security, and e-services technologies. He is a recipient of several awards/best paper awards and has several publications in these areas. He has served as a Chair, Organizing Committee Member, and Technical Program Committee member in numerous international conferences/workshops like HPCS, ICA3PP, IWCMC, VTC, HPCC, IDCS, etc. He is currently serving as the Editor-in-Chief of IJIDCS, an Area Editor of IJCNIS, Associate Editor of IASTED/ACTA Press IJCA and CCS, Guest Editor of some special issues of top-ranked journals, and Editor/Author of four published books. He also serves as a referee of a few renowned journals such as IEEE Transactions on Dependable and Secure Computing (IEEE TDSC), IEEE Transactions on Vehicular Technology (IEEE TVT), IEEE Communications Letters, Journal of Communications and Networks (JCN), Elsevier’s Computer Communications, Computer Standards and Interfaces, IOS Press JHSN, EURASIP JWCN, etc. He is a member of Institute of Electrical and Electronics Engineers (IEEE), USA; IEEE ComSoc Bangladesh Chapter, and several other international organizations.

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Published

2012-04-09 — Updated on 2022-04-17

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How to Cite

and Al-Sakib Khan Pathan, T. A. X. W. S. A. (2022). Automated Intruder Detection from Image Sequences using Minimum Volume Sets. International Journal of Communication Networks and Information Security (IJCNIS), 4(1). https://doi.org/10.17762/ijcnis.v4i1.88 (Original work published April 9, 2012)

Issue

Vol. 4 No. 1 (2012)

Section

Research Articles