The research and implementation of face detection and recognition based on video sequences

Author

Zhao, Qianqian ; Cai, Hualong

Author_Institution

Eng. & Res. Center For Inf. Technol. On Educ., HuaZhong Normal Univ., Wuhan, China

Volume

1

fYear

2010

fDate

21-24 May 2010

Abstract

The detection and recognition of motive human face in video sequences is one of the international research hotspot currently. In order to achieve a face recognition system based on video, this paper used the method of difference in background images and the Kalman filter to track and extract the region of human body firstly, and then used the AdaBoost algorithm to detect human face in the region. Finally the improved Hidden Markov Model which is named as Pseudo-two-dimensional Hidden Markov Model was used for feature extraction and recognition in face image. In addition the effect of recognition was tested.

Keywords

Kalman filters; face recognition; feature extraction; hidden Markov models; video signal processing; AdaBoost algorithm; Kalman filter; background images; feature extraction; human face detection; human face image recognition; international research; pseudo-two-dimensional hidden Markov model; video sequences; Face detection; Face recognition; Feature extraction; Filters; Hidden Markov models; Humans; Image recognition; Motion estimation; State estimation; Video sequences; Kalman filter; P2D-HMM; Video Sequences; face detection and recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Future Computer and Communication (ICFCC), 2010 2nd International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-5821-9

Type

conf

DOI

10.1109/ICFCC.2010.5497778

Filename

5497778