DocumentCode :
2251058
Title :
Fast and roust face tracking applieed to wheelchair driving
Author :
Xavier-de-Souza, Samuel ; Van Dyck, Michiel ; Suykens, Johan A.K. ; Vandewalle, Joos
Author_Institution :
K.U.Leuven, ESAT/SCDSISTA, Kasteelpark Arenberg 10, 3001 Leuven, Belgium. e-mail: samuel.xavierdesouza@esat.kuleuven.be
fYear :
2006
fDate :
Aug. 2006
Firstpage :
1
Lastpage :
1
Abstract :
In this demonstration we will present an application of a fast and robust face tracking algorithm implemented with a CNN Universal Machine chip. The application is the driving of a wheelchair according to predefined movements of the user´s head. A 3D model of a wheelchair is used in order to demonstrate the driving mechanism.
Keywords :
Cellular neural networks; Conferences; Electronic mail; Face detection; Lighting; Magnetic heads; Mathematical model; Robustness; Turing machines; Wheelchairs; face tracking; object tracking; visual algorithms; wheelchair driving;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cellular Neural Networks and Their Applications, 2006. CNNA '06. 10th International Workshop on
Conference_Location :
Istanbul, Turkey
Print_ISBN :
1-4244-0640-4
Electronic_ISBN :
1-4244-0640-4
Type :
conf
DOI :
10.1109/CNNA.2006.341597
Filename :
4145837
Link To Document :
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