Gesture recognition based on subspace method and hidden Markov model

被引：0
|
作者：
Iwai, Y [1 ]
Hata, T [1 ]
Yachida, M [1 ]
机构：
[1] Osaka Univ, Dept Syst & Human Sci, Osaka 560, Japan
来源：
IROS '97 - PROCEEDINGS OF THE 1997 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOT AND SYSTEMS: INNOVATIVE ROBOTICS FOR REAL-WORLD APPLICATIONS, VOLS 1-3 | 1996年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper proposes a method to recognize human gestures from an image sequence based on Hidden Markov Model and Subspace method. As our method uses the motion vector field of the scene for recognition, it is robust for variety in the background of the scene and it doesn't require the users to wear a sensor or a marker. The motion vector field of the scene is projected to an eigen-subspace and is used as the input symbols for the HMM.
引用
收藏
页码：960 / 966
页数：7
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