Faces Tracking from multi-surveillance camera (FTMSC)

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Muthanna Journal of Pure Sciences – MJPS

VOL. 4 – NO. 2 / 2017

Asst. Prof. Dr. Hasanen S. Abdullah1, Sana Ali Jabber2
1Computer Science Department, University of Technology, Baghdad, Iraq



The development of a robust and integrated multi-camera surveillance device is
an important requirement to ensure public safety and security. Being able to reidentify
and track one or more targets in different scenes with surveillance cameras.
That remains an important and difficult problem due to clogging, significant change of
views, and lighting across cameras.
In this paper, traditional surveillance systems developed and supported by
intelligent techniques. That system have ability to performance the parallel processing
of all cameras to track peoples in the different scenes (places). In addition, show
information about authorized people appearing on surveillance cameras and issue a
warning whistle to alert security men if any unauthorized person appears. We used
Viola and Jones approach to detected face, and then classifying the target face as one
of the authorized faces or not by using Local Binary Patterns (LBP).


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