Abstract
Several researchers have recently attempted automatic recognition and tracking of the facial expressions in video frames. However, it is very hard to extract facial movement because the distinction between facial movement and head movement is difficult to make. It is necessary to make the initialization of the head position using the central points of each eye and the tip of the nose in order to solve this distinction problem. The tracking of facial movements is made in comparison between the neutral face and the expressive face. The detection of neutral face is done with the condition, “facial movement is very small within the limited interval”. However, some expressive face were also detected as a neutral face. Therefore, the function to evaluate the detected neutral face is adopted to correct the false detection of a neutral face. The transition of facial expressions can be recognized by means of the detected reference face (neutral face) and the recognition algorithm constructed to the fuzzy expert system with flow of application of rules.
