Reseach and Implementation of Face Detection, Tracking and Recognition Based on Video

With the continuous development of computer, many advanced technologies are mostly based on computer vision, face recognition technology plays an important role. The camera captures the image or video stream containing the human face, and detects and tracks the face in the image. This series of related technologies are also called face detection and recognition. The method of face recognition is more natural, more intuitive, and has the characteristics of indirect and concurrency. It has been widely used in many fields. Now, computer vision is an active research field. In this paper, we study the methods of face detection and recognition in the field of computer vision. The user interface is designed with PyQt, and the function of face model training, reading the image to be recognized, extracting the image to be recognized and the recognition of human face are realized. The experimental results show that the proposed method has high recognition efficiency, and a complete algorithm system based on face tracking detection and face recognition is realized, which can lay a good foundation for future research on the aspect of vision.