Facial features-based method for human tracking

Abstract

The detection and tracking of faces and facial features in video sequences is a fundamental and challenging problem in computer vision. This research area has many applications in face identification systems, model-based coding, gaze detection, human-computer interaction, teleconferencing, etc. This work presents a real time system for detection and tracking of facial features in video sequences. A skin-color model to segment face candidate regions in the image is used. The presence or absence of a face in each region is verified by means of an eye detector, based on an efficient template. Once a face is detected, the pupils, nostrils and lip corners are located and these facial features are tracked in the image sequence. The proposed system is efficient in tracking a mobile person in real time under varying conditions such as illumination, different movement and rotation.