MODES: moving objects detection and extraction system

Authors:
Adnan Khashman
Affiliations:
Electrical and Electronic Engineering Department, Near East University, Nicosia, Cyprus
Venue:
ACC'08 Proceedings of the WSEAS International Conference on Applied Computing Conference
Year:
2008

Citing 11
Cited 1

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DICTA '05 Proceedings of the Digital Image Computing on Techniques and Applications
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SNPD '07 Proceedings of the Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing - Volume 02
Watershed algorithm for moving object extraction considering energy minimization by snakes

AVSS '07 Proceedings of the 2007 IEEE Conference on Advanced Video and Signal Based Surveillance
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IEEE Transactions on Multimedia
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Semi-interactive tracing of persons in real-life surveillance data

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Abstract

This paper introduces an automatic moving object detection and extraction system (MODES), which uses image processing to detect and extract moving objects within a monitored zone. Monitoring restricted areas such as international borders or buffer zones is of utmost importance; in particular with the worldwide increase of border conflicts, illegal immigration, and terrorism over the past decade. The proposed system is applied to detect movement by humans, animals or vehicles across an assumed secured area. Experimental results indicate that (MODES) provides a simple, efficient and fast solution to the problem of detecting and extracting moving objects within one system.