Title :
Vision system for human-robot interface
Author :
Islam, Md Ezharul ; Begum, Nasima ; Bhuiyan, Md Al-Amin
Author_Institution :
Jahangirnagar Univ., Dhaka
Abstract :
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.
Keywords :
face recognition; filtering theory; human-robot interaction; image colour analysis; robot vision; fuzzily skewed filter; geometrical face skeleton analysis; human face detection; human skin colors; human-robot interaction system; vision system; Face detection; Filtering; Filters; Humans; Image color analysis; Machine vision; Pixel; Skeleton; Skin; Symbiosis; AIBO; Eye Localization; Face Detection; Human-Machine Interface; Skin Color Segmentation;
Conference_Titel :
Computer and Information Technology, 2008. ICCIT 2008. 11th International Conference on
Conference_Location :
Khulna
Print_ISBN :
978-1-4244-2135-0
Electronic_ISBN :
978-1-4244-2136-7
DOI :
10.1109/ICCITECHN.2008.4803034
