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Real-time
motion-sensitive image recognition system
Musa Peker and Ahmet Zengin*
Department of Computer Science Education, Faculty of
Technical Education, Sakarya University, 54187 Esentepe
Campus Sakarya, Turkey.
*Corresponding author. E-mail:
azengin@sakarya.edu.tr.
Accepted 12 July, 2010 |
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This study aims at realizing an effective motion analysis
for real time security application by using image processing
techniques. After obtaining from the environment, image
frames are used to sense and perceive a mobile object, as
well as its size and motion degree. In case estimated values
exceed its threshold, it is decided whether this image
belongs to a human being or a destructive object. Images are
stored to the hard disk and then a vocal warning system
takes over. The camera is driven by a step motor by which it
is possible to track mobile object continuously. The system
is enough sensitive to perceive slightest motion and allows
user flexibility to select security level. System identifies
the person inside by detecting the skin color algorithms and
records the image into the computer. The application
software has been developed by using C# programming language
of .Net technologies.
Key words:
Image processing, image recognition, camera security system,
face detection.
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