TY - JFULL AU - Huafeng Wang and Yunhong Wang and Yuan Cao PY - 2009/1/ TI - Video-based Face Recognition: A Survey T2 - International Journal of Computer and Information Engineering SP - 2808 EP - 2818 VL - 3 SN - 1307-6892 UR - https://publications.waset.org/pdf/15131 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 36, 2009 N2 - During the past several years, face recognition in video has received significant attention. Not only the wide range of commercial and law enforcement applications, but also the availability of feasible technologies after several decades of research contributes to the trend. Although current face recognition systems have reached a certain level of maturity, their development is still limited by the conditions brought about by many real applications. For example, recognition images of video sequence acquired in an open environment with changes in illumination and/or pose and/or facial occlusion and/or low resolution of acquired image remains a largely unsolved problem. In other words, current algorithms are yet to be developed. This paper provides an up-to-date survey of video-based face recognition research. To present a comprehensive survey, we categorize existing video based recognition approaches and present detailed descriptions of representative methods within each category. In addition, relevant topics such as real time detection, real time tracking for video, issues such as illumination, pose, 3D and low resolution are covered. ER -