Research of Rapid Attention-Information Extraction in Human-Robot Interaction

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 interactio...

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Bibliographic Details
Main Authors: Gong Fei, Xie Lun, Li Nan, Wang Zhi-Liang
Format: Conference Proceeding
Language:English
Subjects:
3D reconstruction
Algorithm design and analysis
Ant Colony Al-gorithm (ACA)
Attention
Edge Detection
Face detection
Feature extraction
Human-Robot Interaction
Humans
Image edge detection
Iris
Three dimensional displays
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Summary: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.
DOI:10.1109/CIS.2011.77