Signal and Data Processing

In this paper, attempting to improve the recognition rate and solve some problems such as pose, lighting variations and partial occlusion in video sequences using Orthogonal Locality Preserving Projection (OLPP). In this research, 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 then the center of each cluster is considered as the cluster representative. It is also shown that by using OLPP the key frames are projected to the new space, where the frames in each manifold are better closed also the frames in different manifold are better separated. The recognition is done by projecting the test video sequence to the new space and calculating the distance between manifolds. Comparing the experimental results of the proposed method with other methods demonstrate the effectiveness of the proposed approach.