Title :
A parallel architecture for hardware face detection
Author :
Theocharides, T. ; Vijaykrishnan, N. ; Irwin, M.J.
Author_Institution :
Cyprus Univ., Nicosia
Abstract :
Face detection is a very important application in the field of machine vision. In this paper, we present a scalable parallel architecture which performs face detection using the AdaBoost algorithm. Experimental results show that the proposed architecture can detect faces with the same accuracy as the software implementation, on real-time video at a frame rate of 52 frames per second
Keywords :
computer vision; face recognition; parallel architectures; AdaBoost algorithm; hardware face detection; machine vision; real-time video; scalable parallel architecture; Application software; Application specific integrated circuits; Cameras; Computer architecture; Face detection; Hardware; Machine vision; Parallel architectures; Robot vision systems; Security;
Conference_Titel :
Emerging VLSI Technologies and Architectures, 2006. IEEE Computer Society Annual Symposium on
Conference_Location :
Karlsruhe
Print_ISBN :
0-7695-2533-4
DOI :
10.1109/ISVLSI.2006.10
