FACE DETECTION AND TRACKING SURVEILLANCE SECURITY SYSTEMS
Journal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.7, No. 4)Publication Date: 2018-04-30
Authors : Simra Kamil;
Page : 211-216
Keywords : Face recognition; Email; Interactive; Blob detection; Human face detection; Integral Image;
Abstract
In this paper, we propose a framework that takes the participation of students for classroom lecture. The proposed system framework takes the participation naturally utilizing face identification and recognition. This participation is recorded by utilizing a camera connected as a part of front of banks, homes, research areas, The basic problem to be solved is to implement an algorithm for detection of faces in an image. At afirst glance the task of face detection may not seem so overwhelming especially considering how easy it is solved by a human. However there is a stark contrast to how difficult it actually is to make a computer successfully solve this task. In order to ease the task Viola-Jones limit themselves to full view frontal upright faces. That is, in order to be detected the entire face must point towards the camera and it should not be tilted to anyside. This may compromise the requirement for being unconstrained a little bit, but considering thatthe detection algorithm most often will be succeeded by a recognition algorithm these demands seem quite reasonable.
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Last modified: 2018-04-10 21:12:42