A system for real-time detecting and recognizing object person

Xin Yi, Xingcheng Luo
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引用次数: 1

Abstract

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.
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一种实时检测和识别目标人的系统
如今,人工智能(AI)在日常生活中越来越普及,如人脸识别、语音识别、自动驾驶等。本文提出了一种基于神经网络模型的链式系统来检测视频中的某个人,该人在某个列表中。在本系统中,人脸检测和人脸识别起着重要的作用,尤其是在人脸识别方面,同时对实时性要求很高。采用Viola-Jones[1]算法进行人脸检测工作,提出卷积神经网络进行人脸识别。应用该系统在实际条件下进行了测试,得到了实时性较高的结果。在大多数情况下,对象的人可以很流利地正确识别。
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