A Detailed Study and Analysis on Different Machine Learning Solutions Available in the Field of Face Tracking

Abstract

Face tracking in today s age is a lesser explored field with a lot of potential to improve security in the society. The aim of this paper is to study and compare different machine learning techniques used for tracking faces in a video. We have encompassed various algorithms in our study, namely, Kalman filtering, Fuzzy geometric set model, Principal Component Analysis, etc.