Detection and Tracking of Facial Features in Video Sequences

This work presents a real time system for detection and tracking of facial features in video sequences. Such system may be used in visual communication applications, such as teleconferencing, virtual reality, intelligent interfaces, humanmachine 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 template 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.

• Type: Conference
• Year: 2000
• Where: MICAI
• Authors: Rogério Schmidt Feris, Teófilo Emídio de Campos, Roberto Marcondes Cesar Junior
• Keywords: Artificial Intelligence, Facial Features, MICAI 2000, Real Time, Segment Face-candidate Regions