Visible to the public Automatic multiple faces tracking and detection using improved edge detector algorithm

TitleAutomatic multiple faces tracking and detection using improved edge detector algorithm
Publication TypeConference Paper
Year of Publication2011
AuthorsChiang, M., Lau, S.
Conference Name2011 7th International Conference on Information Technology in Asia
Date PublishedJuly 2011
ISBN Number978-1-61284-130-4
Keywordsautomatic face tracking, automatic multiple face tracking, Canny edge detection, canny edge detector, Color, composability, Detectors, edge detection, edge detector algorithm, Face detection, face recognition, facial expression system, false detection rate, Gray-scale, haar cascade classifier, Haar face detection, Haar transforms, Image edge detection, lighting, Metrics, Noise, novel edge detection, pubcrawl, resilience, Resiliency, Scalability, security, surveillance, surveillance application

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.

Citation Keychiang_automatic_2011