Statistical Approach for Extraction of Panic Expression

Panic is an impetuous occurrence that can emerge on the human face based on any abrupt situation or atypical circumference. The facial expression of human being is nothing but resembles a reflection of the circumstances or consequences those he or she is facing or yet to face. The happening of panic has become an alarming phenomenon in the present era. Isolation of a people enriched with abnormal facial expression is one of the tremendous difficult tasks. In this paper we have proposed a new methodology based on statistical approach with respect to time span series. Firstly, we are to capture facial expressions with the help of high resolution camera and stored them in a database. After that we followed transformation for image enhancement. We have considered Wiener filter for Image Restoration. Then we are to identify the span spaces to collect the span points of the facial image with respect to nose position and we are to calculate the serial correlation for Ranking Expression. Finally, the geometric value of time span series represents the data of panic expression.