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基于扩展C型HMM视频人脸识别

何欣荣 董建园 张刚

计算机工程与应用2012,Vol.48Issue(24):149-152,4.
计算机工程与应用2012,Vol.48Issue(24):149-152,4.DOI:10.3778/j.issn.1002-8331.2012.24.033

基于扩展C型HMM视频人脸识别

Video face recognition based on improved extended C HMM

何欣荣 1董建园 1张刚1

作者信息

  • 1. 西安建筑科技大学机电工程学院,西安710055
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摘要

Abstract

In order to improve the problem that the performance of video face recognition system is largely influenced by the non-restraint environment, the HMM model is extended by adding the state centre parameter C, and the mapping algorithm on state space is based on facial features, which make the pattern distances smaller, the class distances larger, and improve the system' s robustness. The experimental results have indicated that this model improves the recognition accuracy and anti-jamming to the video frequency sequence.

关键词

扩展C型HMM模型/视频人脸识别/状态空间隐射

Key words

Extended C HMM/ video facial recognition/ state space mapping

分类

信息技术与安全科学

引用本文复制引用

何欣荣,董建园,张刚..基于扩展C型HMM视频人脸识别[J].计算机工程与应用,2012,48(24):149-152,4.

基金项目

陕西省教育厅专项科研计划项目(No.11JK0986). (No.11JK0986)

计算机工程与应用

OACSCDCSTPCD

1002-8331

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