Person identification using lip motion sequence

被引：0
|
作者：
Samad, Salina Abdul [1 ,2 ]
Ramli, Dzati Athiar [2 ]
Hussain, Aini [2 ]
机构：
[1] Univ Kebangsaan Malaysia, Fac Engn, Dept Elect Elect & Syst Engn, Bangi 43600, Selangor, Malaysia
[2] Univ Kebangsaan Malaysia, Dept Elect Elect & Syst Engn, Fac Engn, Bangi 43600, Selangor, Malaysia
来源：
KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS: KES 2007 - WIRN 2007, PT I, PROCEEDINGS | 2007年 / 4692卷
关键词：
unconstrained minimum average correlation energy (UMACE); lip motion; person identification;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we propose a new method based on lip motion sequence and the Unconstrained Minimum Average Correlation Energy (UMACE) filter as a classifier for person identification. UMACE filter has advantages in terms of their characteristics such as distortion-tolerant, shift-invariant and high discrimination ability. Therefore, executing UMACE filter provides an ideal application for person identification because we deal with the variations of the lip appearance in each frame sequence. The results obtained using a Digit Database show that the use of lip motion sequence and UMACE filter offer a good potential and can be an alternative technique for a person identification system.
引用
收藏
页码：839 / +
页数：3
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