Motion Detection of Some Geometric Shapes in Video Surveillance
American Journal of Data Mining and Knowledge Discovery
Volume 2, Issue 1, March 2017, Pages: 8-14
Received: Dec. 21, 2016; Accepted: Jan. 6, 2017; Published: Jan. 30, 2017
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Authors
Larbi Guezouli, LaSTIC Laboratory, Department of Computer Science, University of Batna, Batna, Algeria
Hanane Belhani, LaSTIC Laboratory, Department of Computer Science, University of Batna, Batna, Algeria
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Abstract
Motion detection is a live issue. Moving objects are an important clue for smart video surveillance systems. In this work we try to detect the motion in video surveillance systems. The aim of our work is to propose solutions for the automatic detection of moving objects in real time with a surveillance camera. We are interested by objects that have some geometric shape (circle, ellipse, square, and rectangle). Proposed approaches are based on background subtraction and edge detection. Proposed algorithms mainly consist of three steps: edge detection, extracting objects with some geometric shapes and motion detection of extracted objects.
Keywords
Video Surveillance, Motion Detection, Real-Time System, Pattern Recognition
To cite this article
Larbi Guezouli, Hanane Belhani, Motion Detection of Some Geometric Shapes in Video Surveillance, American Journal of Data Mining and Knowledge Discovery. Vol. 2, No. 1, 2017, pp. 8-14. doi: 10.11648/j.ajdmkd.20170201.12
Copyright
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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