A FUZZY-BASED FACE TRACKING SCHEME

In this paper, a technique is presented to locate and track the facial areas in videophone-type sequences. The proposed face localization method consists of essentially two components: i) a color processing unit, and ii) a fuzzy-based shape and color analysis module. The color processing component utilizes the distribution of skin-tones in the HSV color space to obtain an initial set of candidate regions or objects. The latter shape and color analysis module is used to correctly identify the facial regions when falsely detected objects are extracted. A number of fuzzy membership functions are devised to provide information about each object's shape, orientation, location, and average hue. An aggregation operator nally combines these measures and correctly selects the facial area. The suggested approach is robust with regards to di erent skin types, and various types of object or background motion within the scene. Furthermore, the algorithm can be implemented at a low computational complexity due to the binary nature of the operations involved.