计算机应用与软件2013，Vol.30Issue(8)：162-165,4.DOI:10.3969/j.issn.1000-386x.2013.08.043
基于Zernike不变矩的人形识别研究
STUDY ON HUMAN SHAPE RECOGNITION BASED ON ZERNIKE MOMENT INVARIANTS
摘要
Abstract
In this article we study the moment invariants-based human shape recognition in intelligent video monitoring system,and establish an image library which contains 201 human shape samples and 67 animal samples.Minimum distance classifier is used to classify and recognise the Hu moment invariants and Zernike moment invariants.Experimental verification demonstrates that method is effective and reliable,in general scenarios the human shape recognition rate can achieve 89％ and higher.关键词
Hu矩/Zernike矩/人形识别/最小距离分类器Key words
Hu moment invariants / Zernike moment invariants / Human shape recognition / Minimum distance classifier分类
信息技术与安全科学引用本文复制引用
吴冬梅,李俊威,刘凌志,蔺丽华..基于Zernike不变矩的人形识别研究[J].计算机应用与软件,2013,30(8):162-165,4.基金项目
陕西省工业攻关计划项目(2011K09-36) （2011K09-36）
陕西省教育厅科研计划项目(12JK0528) （12JK0528）
陕西省科技攻关计划项目(2012K06-16). （2012K06-16）
