Vision system for human-robot interface

A vision system has been developed for human-robot symbiosis. The two novel contributions of this paper are 1) Detection of human faces and 2) Localizing the eye. The method is based on visual attributes of human skin colors and geometrical analysis of face skeleton. This paper introduces a spatial...

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Bibliographic Details
Main Authors: Islam, M.E., Begum, N., Bhuiyan, M.A.-A.
Format: Conference Proceeding
Language:English
Subjects:
AIBO
Eye Localization
Face detection
Filtering
Filters
Human-Machine Interface
Humans
Image color analysis
Machine vision
Pixel
Skeleton
Skin
Skin Color Segmentation
Symbiosis
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Summary:A vision system has been developed for human-robot symbiosis. The two novel contributions of this paper are 1) Detection of human faces and 2) Localizing the eye. The method is based on visual attributes of human skin colors and geometrical analysis of face skeleton. This paper introduces a spatial domain filtering method named dasiafuzzily skewed filterpsila which incorporates fuzzy rules for deciding the gray level of pixels in the image in their neighborhoods and takes advantages of both the median and averaging filters. The effectiveness of the method has been justified over human-robot interaction system.
DOI:10.1109/ICCITECHN.2008.4803034