Research on Face Tracking Recognition System Based on Deep Learning

With the rapid development of deep learning, computer vision combined with powerful computational capabilities is applied in various fields. In intelligent surveillance system, face recognition and tracking technology combined with deep learning has been very important in the field of computer vision research. In this paper, we design and build an intelligent monitoring system based on microcomputing devices, and the system has the functions of automatic recognition, tracking and recording. The system is divided into three aspects: face detection, face feature extraction and face tracking, which are researched and improved based on the scenarios of processing surveillance video sequence images. Finally, the face detection module is deployed on a miniature computing device Raspberry Pi and the tracking and recognition module is deployed on a host computer. The data is transmitted in the form of a client-server. The face detection, face tracking, and face recognition functions of the system are tested separately, and all of them meet the expected goals.