Face Recognition and Detection Techniques with Moving Objects

Face recognition has been the most widely used application of image analysis. Its popularity is due to wide range of commercial and law enforcement applications and presence of latest techniques. It also has several applications in areas such as content-based image retrieval, video coding, video conferencing, crowd surveillance, and intelligent humancomputer interfaces. But current systems are having laggings, which still needed to be worked upon like illumination and pose variations. This paper is a study of various techniques being used for face recognition. A face recognition system includes three steps face detection, feature extraction and face recognition. This paper includes various recognition techniques and descriptions of representative methods. The majority of face recognition methods have been developed by scientists with a very technical background such as biometry, pattern recognition and computer vision. The concepts and practical issues relating to the application of each step of a face recognition system and their various strategies are given, without going into technical details. The goal of this paper is to evaluate various face detection and recognition methods, provide complete solution for image based face detection and recognition with higher accuracy, better response rate as an initial step for video surveillance. Solution is proposed based on performed tests on various face rich databases in terms of subjects, pose, emotions, race and light.