This paper describes the comparative analysis of
different face tracking methods in the head gesture recognition
system. The major constraints of head gesture recognition system,
i.e. face detection, feature extraction, tracking, and recognition
are explained. We used adaboost algorithm for detection, and
Camshift algorithm for tracking with different feature extraction
methods. We performed extensive experimentations and presented
a comparative analysis of tracking performance of head gesture
recognition system under cluttered backgrounds, shadow and
sunshine conditions. Experimental results show the robustness in
face detection, tracking and direction recognition of the proposed
method.
Face Tracking Performance in Head Gesture Recognition System