Automatic multiple faces tracking and detection using improved edge detector algorithm

• Published in: 2011 7th International Conference on Information Technology in Asia pp. 1 - 5
• Main Authors: Mee-Li Chiang, Siong-Hoe Lau
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.07.2011
• Subjects: canny edge detection; Color; Detectors; Face detection; Gray-scale; haar cascade classifier; Image edge detection; Lighting; Noise; novel edge detection
• ISBN: 1612841287; 9781612841281
• DOI: 10.1109/CITA.2011.5999521

The automatic face tracking and detection has been one of the fastest developing areas due to its wide range of application, security and surveillance application in particular. It has been one of the most interest subjects, which suppose but yet to be wholly explored in various research areas due to various distinctive factors: varying ethnic groups, sizes, orientations, poses, occlusions and lighting conditions. The focus of this paper is to propose an improve algorithm to speed up the face tracking and detection process with the simple and efficient proposed novel edge detector to reject the non-face-likes regions, hence reduce the false detection rate in an automatic face tracking and detection in still images with multiple faces for facial expression system. The correct rates of 95.9% on the Haar face detection and proposed novel edge detector, which is higher 6.1% than the primitive integration of Haar and canny edge detector.