基于改进脉冲耦合神经网络的动态人脸识别  

Dynamic Face Recognition Based on Improved Pulse Coupled Neural Network

作　　者：温荷[1] 罗频捷[2] WEN He;LUO Pin-jie(Department of Computer Science and Engineering,Chengdu Neusoft University,Chengdu 611844,China;Experimental Management Center,Chengdu Neusoft University,Chengdu 611844,China)

机构地区：[1]成都东软学院计算机科学与工程系,成都611844 [2]成都东软学院实验实训中心,成都611844

出　　处：《计算机科学》2021年第S01期85-88,共4页Computer Science

基　　金：四川省教育厅科研项目(17ZB0010,17ZB0009)。

摘　　要：动态人脸识别在实时监控和人员追踪等领域具有广泛应用前景,是目前人脸识别技术的研究热点之一。针对传统人脸识别技术在动态人脸识别应用中识别率不高的问题,提出一种基于背景差分法的改进脉冲耦合神经网络的动态人脸识别方法。利用脉冲耦合神经网络时空总和特性,将脉冲耦合神经网络神经元与人脸图像像素对应,使对不同人脸图像像素产生不同点火序列,通过对图像像素点火序列分析,可以进行不同人脸的区分。对500组动态人脸图像的随机抽取实验表明,改进脉冲神经网络对实际场景中的动态人脸识别性较好,可以较好地对不同人物进行区分,具有稳定鲁棒性。Dynamic face recognition has wide application prospects in the field of real-time monitoring and tracking.It is one of the hot spots in the research of face recognition technology.In view of the problem that traditional face recognition technology can not be recognized well in the application of dynamic face recognition,a new method based on background difference method is proposed.The time and space of the pulse coupled neural network is used to generate different ignition sequences for different faces to distinguish different face.Using pulse coupled neural network space-time summation,the pulse coupled neural network neurons are matched with face image pixels,which produces different ignition sequence of different face image pixels.Through analyzing the image pixel ignition sequence,it can distinguish between different faces.Through the experiment on 500 randomly selected group of dynamic face images show that the improved pulse neural network for dynamic face recognition of the actual scene can be used to distinguish between different characters,with robust stability.

关 键 词：脉冲耦合神经网络 动态识别 人脸识别 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]