Use Of Haar Cascade Classifier For Face Tracking System In Real Time Video. Department Of Computer Engineering, V.I.I.T., Pune ABSTRACT- In this paper, we present information about the face detection and tracking system with real time video as an input. The working method of this system is entirely divided into two main modules. The face recognition and detection from the video is the first module while the tracking is the second module. To detect the face in the image, Face Name Graph Matching algorithm is used. This algorithm involves various methods such as Haar-Cascade method, Open-cv libraries etc. Face clustering algorithm is used for tracking the face in the video. This system is mainly designed for the security purposes. Video recorded in public areas for known person or suspicious activities are used as an input for the system. System will identify and track one or more people captured in that video, this is taken as an output of this system. This paper involves working of face tracking system, algorithms which are involve and results of the system. KEYWORDS- Face detection, Face recognition, Face tracking, Face clustering, Face name graph matching algorithm. 1. INTRODUCTION Objective and Motivation: Object tracking in a video sequence has been studied extensively for surveillance purposes. The ability to detect an object and then tracking is of great interest in many applications like security, missile tracking and rescue operations. Tracking an object under time varying position and orientation is a basic ability of computerized visual system. Throughout our lives, people present their faces as a form of identification. In the natural world, face identification is so pervasive; therefore it is reasonable to consider faces as a means for recognition using machines. The first semi-automated system for face recognition developed in 1960s which required the administrator to locate features such as eyes, ears, nose and mouth etc. on the photographs before it calculated distances and ratios to a common reference point which were compared to reference data. Now, in present era, computer with developed technologies and signal processors of digital image processing has become the most common form image processing due to its versatility and low cost. Major advancements and initiatives are taken in face recognition technology in the last 10 to 15 years. Therefore automated face recognition is a relatively a new concept. Face tracking system is used to develop an application to recognize and track the suspicious people and provide the information about them. Now a days a lot of security threats, criminal causes and illegal offenses done in the public places. Thus to reduce the job of police men some automated system is required which will guide Police for recognizing and tracking the suspect from the recorded video. 2. WORKING OF PROPOSED SYSTEM K .H. Wanjale, Amit Bhoomkar, Ajay Kulkarni, Somnath Gosavi 2348 International Journal of Engineering Research & Technology (IJERT) Vol. 2 Issue 4, April - 2013 ISSN: 2278-0181 www.ijert.org