Face Detection System Based on Video Stream

With the development of electronic information and computer science technology, video capture becomes simpler and storage costs are rapidly declining, resulting in a dramatic increase in the amount of available video. In such circumstances, purely manual annotation and processing has been unable to deal with the massive video data. This has led to a growing demand for automated video analytics and interpretation technologies. The key underlying rationale for these video analytics applications is the automatic detection algorithm for video targets. In this paper, we analyze the common face detection algorithm and video streaming face detection applications. Combined with the actual situation, we design and implement a face detection system based on video streaming.