DocumentCode :
2831661
Title :
Cloud dynamic target-tracking and real-time 3D face-recognition by using bionic-vision capability
Author :
Chen, Jyue-Long ; Hwang, Thong-Shing ; Chang, Po-Wei
Author_Institution :
Grad. Inst. of Autom. Control Eng., Feng Chia Univ., Taichung, Taiwan
fYear :
2012
fDate :
June 30 2012-July 2 2012
Firstpage :
167
Lastpage :
172
Abstract :
The purpose of this paper is to accomplish the tasks of real-time tracking, face recognition and three-dimensional model reconstruction. This system is divided into two parts: client and server. In order to construct a cloud computing system, client part must use the lowest level hardware to send the captured image that is required to process in server side, for the server, that is necessary to use a superior system to process the related image and then return the result to client side. In this system, the client only needs to deal with image acquisition, image transmitting/receiving, and result monitoring. At the server side, it handles the processing of all This system integrates the processions of the facial recognition and dynamic tracking, and also the processing speed has been accelerated greatly by using fuzzy classification inference method. The simulation result has demonstrated this system rather reliable.
Keywords :
biocybernetics; cloud computing; computer graphics; face recognition; fuzzy reasoning; image reconstruction; real-time systems; target tracking; 3D model reconstruction; bionic-vision capability; cloud computing system; cloud dynamic target-tracking; dynamic tracking; facial recognition; fuzzy classification inference method; image acquisition; image receiving; image transmitting; real-time 3D face-recognition; real-time tracking; Face; Face recognition; Humans; Image recognition; Monitoring; Servers; Solid modeling; dynamic tracking; face model reconstruction; facial recognition; image processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Science and Engineering (ICSSE), 2012 International Conference on
Conference_Location :
Dalian, Liaoning
Print_ISBN :
978-1-4673-0944-8
Electronic_ISBN :
978-1-4673-0943-1
Type :
conf
DOI :
10.1109/ICSSE.2012.6257170
Filename :
6257170
Link To Document :
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