DocumentCode :
2986855
Title :
Research of Rapid Attention-Information Extraction in Human-Robot Interaction
Author :
Fei, Gong ; Lun, Xie ; Nan, Li ; Zhi-liang, Wang
Author_Institution :
Sch. of Comput. & Commun. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
fYear :
2011
fDate :
3-4 Dec. 2011
Firstpage :
316
Lastpage :
320
Abstract :
In the human-robot interactions, it is an important research on the artificial intelligence that robots catch the human´s attention information. This process has a significant impact on robot intelligence. In this paper, a system for extracting human´s attention-information from interaction has been designed. On the basis of face detection and eye-area location, an algorithm, combined with ant colony algorithm(ACA) eye edge extracting, curve fitting and eye-model 3D reconstruction, has been designed to achieve attention information successfully by using an ordinary web cam and a low requirement hardware system. There is a significant help on real-time and applicability for human-robot visual interaction.
Keywords :
ant colony optimisation; artificial intelligence; curve fitting; edge detection; face recognition; human-robot interaction; image reconstruction; information retrieval; intelligent robots; robot vision; solid modelling; ACA; ant colony algorithm; artificial intelligence; curve fitting; eye area location; eye edge extraction; eye model 3D reconstruction; face detection; human attention information extraction; human robot visual interaction; low requirement hardware system; robot intelligence; webcam; Algorithm design and analysis; Face detection; Feature extraction; Humans; Image edge detection; Iris; Three dimensional displays; 3D reconstruction; Ant Colony Al-gorithm (ACA); Attention; Edge Detection; Human-Robot Interaction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Security (CIS), 2011 Seventh International Conference on
Conference_Location :
Hainan
Print_ISBN :
978-1-4577-2008-6
Type :
conf
DOI :
10.1109/CIS.2011.77
Filename :
6128130
Link To Document :
بازگشت