A system for real-time detecting and recognizing object person
Xin Yi, Xingcheng Luo · 2018
Today, artificial intelligence (AI) has become more and more popular in daily life, such as face recognition, speech recognition, automated driving. In this paper, a chained system based on neural network model is proposed to detect certain person in video, who is in some list. In this system, face detection and face recognition play an important role, especially in face recognition, At the same time, it requires high real-time performance. The Viola-Jones[1] algorithm is employed to do face detection work, and for face recognition, a convolution neural network is proposed. After we use this system to do some tests in real conditions, we get a result of high real-time performance. In most instances, object people can be recognized correctly with great fluency.