TY  - JOUR
T1  - An Escalated Approach to Face Tracking and Facial Expression Recognition from Video Files
AU - , R. Baskaran AU - , A. Kannan 
JO  - International Journal of Soft Computing
VL  - 1
IS  - 2
SP  - 103
EP  - 107
PY  - 2006
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2006.103.107
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2006.103.107
KW  - Facial expression recognition
KW  -face detection
KW  -face tracking
AB  - Tracking faces and identifying expression from a video files is a complex mining application due to
the fact that even a delicate change in the emotion of the face could convey a great variation as an expression.
This paper presents a robust novel method to track both male and female faces and recognize the facial
expression in video files. Face localization in a digital image, which is being grabbed from the video source is
performed using the hue-saturation and YC C based algorithms. Morphological algorithm over this region b r
signals the eyes and mouth position in that region. Lips, eyebrows and eyelids are then identified. Distance
between eyebrow and eyelid and the slope of the curvature of the lips are derived which facilitates in deciding
the facial expression of the given digital image.
ER  -