工矿自动化2017，Vol.43Issue(3)：53-56,4.DOI:10.13272/j.issn.1671-251x.2017.03.012
一种适用于井下人脸跟踪的改进主动形状模型
An improved active shape model for underground face tracking
摘要
Abstract
For low accuracy of face tracking applying active shape model(ASM) in condition of sudden change of illumination and contaminated and covered miner face in underground coal mine,an improved ASM was proposed.Firstly,mirror sample set is formed by definition of mirror image with selected special training sample set.Then,the mirror sample set is processed by logarithmic scale.Finally,related block model is used as ASM learning model for training.The experimental results show that the method can effectively improve accuracy of underground face tracking.关键词
煤矿井下/人脸跟踪/主动形状模型Key words
underground coal mine/face tracking/active shape model分类
矿业与冶金引用本文复制引用
张秀琴,王蓉,张英俊..一种适用于井下人脸跟踪的改进主动形状模型[J].工矿自动化,2017,43(3):53-56,4.基金项目
“十二五”山西省科技重大专项资助项目(20121101001) （20121101001）
山西省科技攻关项目(20141039). （20141039）
