EVENT TRIGGERING WITH CRISP SET USING IMAGES OF SURVEILLANCE SYSTEMS

Observing moving objects using far field’s video surveillance is core areas of research in computer vision. Similar application also can be found in surveillance systems and traffic monitoring applications. This paper presents implementing of crisp set technique on video images in order to eva...

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Bibliographic Details
Main Authors: Asirvadam , Vijanth Sagayan, Altahir, A. Altahir, Sebastian , Patrick
Format: Article
Published: 2010
Subjects:
Online Access:http://eprints.utp.edu.my/3399/1/1010102-6767_IJVIPNS-IJENS.pdf
http://www.ijens.org/IJVIPNS%20Vol%2010%20Issue%2002.html
http://eprints.utp.edu.my/3399/
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Summary:Observing moving objects using far field’s video surveillance is core areas of research in computer vision. Similar application also can be found in surveillance systems and traffic monitoring applications. This paper presents implementing of crisp set technique on video images in order to evaluate moving objects in far field’s surveillance systems. One main objective is to create an event trigger if the scene is active. The concept is based on extracting two powerful attributes from moving objects, namely velocity and pixel frequency distribution. Combining the two measurements mentioned using crisp set rules in order to evaluate the active section in the image plane. The experimental results proved the efficiency of the technique.