REAL-TIME FACE DETECTION AND TRACKING FOR SECURITY SYSTEM

ABSTRACT:

                            This is a project to develop an e-mail application using HCI features helping users check their mailbox easier. It is consist of a network module to develop a standalone email application to ask user home security. a face recognition module Face recognition algorithm and pick the fastest one to avoid lag and use it as a security level of application.  This paper describes the technique for real time human face detection and tracking using a modified version of the algorithm suggested by Paul viola and Michael Jones. The paper starts with the introduction to human face detection and tracking, followed by apprehension of the Vila Jones algorithm and then discussing about the implementation in real video applications. Viola Jones algorithm was based on object detection by extracting some specific features from the image. We used the same approach for real time human face detection and tracking. Simulation results of this developed algorithm shows the Real time human face detection and tracking supporting up to 50 human faces. This algorithm computes data and produce results in just a mere fraction of seconds.

Keywords-  Face recognition; Email; Interactive; Blob detection, Human face detection, Integral Image