Face Detection By some Methods based on MATLAB

Abstract

Over the past few years, technology has begun to discover things rapidly growing, as this technology has come to dominate the vision of computers, which have taken an important role in monitoring cars and their safety.
 In this work, the face detection and tracking process was highlighted,[6], and two algorithms were created to clarify the role of the MATLAB program in creating a simple system for facial tracking and detection where the first example shows the application of Algorithm1 using the CAMShift method where the face was tracked where the results were weak due to sufficient contrast between Face and background area, the algorithm1 was created to implement the method, [2].
 Example2 is using the method Kanade Lucas Tomasi (KLT), which is a simple system where it is able to detect the face and track it where the system is able to detect the face when the head moves and tilts, with Estim Geometric Transform (EGT) function and Duration Geometric Transform (DGT), The algorithm 2 was created to implement the method.
 The examples in this work show the implementation and efficiency of the mentioned algorithms