计算机科学

计算机科学 ›› 2021, Vol. 48 ›› Issue (6A): 85-88.doi: 10.11896/jsjkx.200600172

• 图像处理&多媒体技术 • 上一篇    下一篇

基于改进脉冲耦合神经网络的动态人脸识别

温荷1, 罗频捷2   

  1. 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
  • 出版日期:2021-06-10 发布日期:2021-06-17
  • 通讯作者: 罗频捷(luopinjie@nsu.edu.cn)
  • 作者简介:wenhe@nsu.edu.cn
  • 基金资助:
    四川省教育厅科研项目(17ZB0010,17ZB0009)

Dynamic Face Recognition Based on Improved Pulse Coupled Neural Network

WEN He1, LUO Pin-jie2   

  1. 1 Department of Computer Science and Engineering,Chengdu Neusoft University,Chengdu 611844,China
    2 Experimental Management Center,Chengdu Neusoft University,Chengdu 611844,China
  • Online:2021-06-10 Published:2021-06-17
  • About author:WEN He,born in 1982,vice professor,is a member of China Computer Federation.Her main research interests include big data and artificial neural network.
  • Supported by:
    Scientific Research Fundation of Education Department of Sichuan Province,China(17ZB0010,17ZB0009).

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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。

关键词: 动态识别, 脉冲耦合神经网络, 人脸识别

Abstract: 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.

Key words: Dynamic identification, Face recognition, Pulse coupled neural network

中图分类号: 

  • TP391
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