Appearance-based Face Recognition in Video Sequences
Author(s):
Abstract:
Video-based face recognition has received significant attention in recent years. There are some problems in video-based face recognition method such as pose, lighting and expression variations, occlusion, aging and low image resolutions. In this paper, first of all face in video frames is detected for background removing. Then each set of images is distributed on a nonlinear manifold and clustered using appropriate methods. Determination of the number of clusters and linear models is quite intelligent and with implementation of this method, the number of clusters depends on different movements of head. Two methods are proposed for clustering and linear models. The distance between nonlinear manifolds that is composed of the combination of two methods, are used for recognition. The first method uses the distance between the clusters which are considered as the linear space and the second method uses the distance between key frames for recognition. Finally the results are compared with other methods.
Keywords:
Language:
Persian
Published:
Journal of Electrical Engineering, Volume:45 Issue: 2, 2014
Pages:
75 to 83
https://magiran.com/p1344171