This work presents a real time system for detection and tracking of facial features in video sequences. Such system m ay be used in visual communication applications, such as teleconferencing, virtual reality, intelligent interfaces, human- machine interaction, surveillance, etc. We have used a statistical skin-color model to segment face-candidate regions in the image. The presence or absence of a face in each region is verified by means of an eye detector, based on an efficient t emplate matching scheme . Once a face is detected, the pupils, nostrils and lip corners are located and these facial features are tracked in the image sequence, performing real time processing.
['Rogério Schmidt Feris', 'Teófilo Emídio de Campos', 'Roberto Marcondes Cesar Junior']
Detection and Tracking of Facial Features in Video Sequences