A Face-Detection Postprocessing Scheme Using a Geometric Analysis for Multimedia Applications
Kyounghoon Jang, Hosang Cho, Changwan Kim, Bongsoon Kang · JSTS Journal of Semiconductor Technology and Science · 2013
Human faces have been broadly studied in digital image and video processing fields. An appearance-based method, the adaptive boosting learning algorithm using integral image representations has been successfully employed for face detection, taking advantage of the feature extraction’s low computational complexity. In this paper, we propose a face-detection postprocessing method that equalizes instantaneous facial regions in an efficient hardware architecture for use in real-time multimedia applications. The proposed system requires low hardware resources and exhibits robust performance in terms of the movements, zooming, and classification of faces. A series of experimental results obtained using video sequences collected under dynamic conditions are discussed.