%0 Journal Article %A LIANG Bin %A DUAN Fu %T Method for face retrieval in video using SVD and improved PCA %D 2013 %R %J Computer Engineering and Applications %P 177-182 %V 49 %N 11 %X This paper presents a method for face retrieval in video stream based on SVD and improved PCA. The PCA is improved through local mean and standard deviation in order to overcome the effects of illumination. The AdaBoost is used to detect human faces in image and video. The training samples are increased by Singular Value Decomposition(SVD). On the basis of the original and new samples, the algebra features are extracted by using improved Principal Component Analysis(PCA). The features are compared through nearest neighbor classifier and the retrieval results are displayed to users. Experimental results show the method performs well in simple background videos. %U http://cea.ceaj.org/EN/abstract/article_30526.shtml