Genetic Approach for Video Based Face Recognition

computer science & engineering

Extracting high-level features is an important field in video indexing and retrieving. Identifying the presence of a human in the video is one of these high-level features, which facilitate the understanding of other aspects concerning people or the interactions between people. In this paper, we are giving an approach for face recognition based on a video. Face recognition in videos is a superheated topic in computer vision and biometrics for many years. Compared to traditional face analysis, video-based face recognition has the advantages of more plentiful information to improve accuracy and robustness but also suffers from large-scale variations, low quality of facial images, illumination changes, pose variations, and occlusions. Related to applications, we divide the existing video-based face recognition approaches into two categories: video-image-based methods and video-video-based methods, which are surveyed and analyzed in this paper

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