Face Tracking Techniques in Color Images : A Study and Review
S. Ravi, S. Muthukumar, P. Pasupathi, A. A. Benedict, J. Jayapal · 2013
Face tracking has become an increasingly important research topic in the computer vision field, mainly due to its large amount of real-world applications and situations where such methods can be applied, such as Video Surveillance, Criminal Identification, Terrorist Identification, Border Intrusion. It is very difficult to come up with a robust solution due to variations in illumination, pose, appearance, etc. This paper presents a comparative study and analysis of face tracking techniques. Of the face tracking methods used till now, Memory-based Particle Filter method and Stereo methods and Kanade-Lucas-Tomasi and Scale-invariant Feature Transform of Model Based used for face tracking algorithm produces almost 100% results.