HMM face recognition system based on vote weight algorithm in ambient intelligence - 文章详情页

作者：

He, Jian (He, Jian.) | Li, Hui (Li, Hui.) | Zhang, Yong (Zhang, Yong.) (学者：张勇) | Huang, Zhang-Qin (Huang, Zhang-Qin.) (学者：黄樟钦) | Hou, Yi-Bin (Hou, Yi-Bin.) (学者：侯义斌)

收录：

EI Scopus PKU CSCD

摘要：

According　to　the　complexity　of　background,　the　weakness　of　light　and　the　real-time　requirement　of　identification　in　ambient　intelligence　(AmI).　A　face　recognition　mode　based　on　Hidden　Markov　Model　(namely,　HMM)　is　designed,　and　a　complex　feature　extraction　algorithm　based　on　vote　weight　algorithm　which　has　advantages　of　gray　transforms　and　2D-DCT　eigenvectors　is　proposed.　Meanwhile,　the　difference　algorithm　is　applied　to　analyze　each　frame　of　the　picture　captured　by　vidicon,　and　to　position　the　region　of　the　face　in　a　real　time.　At　last,　a　HMM　face　recognition　system　based　on　complex　feature　for　AmI　is　developed.　It　is　demonstrated　experimentally　that　the　system　can　recognize　user＇s　face　well　and　truly,　and　a　base　for　realizing　the　natural　Human-Computer　Interaction　in　ambient　intelligence　is　provided.

关键词：

Ambient intelligence Artificial intelligence Face recognition Hidden Markov models Human computer interaction Identification (control systems) Television camera tubes

作者机构：

[ 1 ] [He, Jian]Institute of Embedded Software and System, Beijing University of Technology, Beijing 100124, China
[ 2 ] [Li, Hui]Institute of Embedded Software and System, Beijing University of Technology, Beijing 100124, China
[ 3 ] [Zhang, Yong]College of Electronic Information and Automation, Tianjin University of Science and Technology, Tianjin 300222, China
[ 4 ] [Huang, Zhang-Qin]Institute of Embedded Software and System, Beijing University of Technology, Beijing 100124, China
[ 5 ] [Hou, Yi-Bin]Institute of Embedded Software and System, Beijing University of Technology, Beijing 100124, China

通讯作者信息：

电子邮件地址：

查看成果更多字段

成果类型
所属机构

所有年份指定年份从至