DocumentCode
2509079
Title
Embedded hardware face detection
Author
Theocharides, T. ; Link, G. ; Vijaykrishnan, N. ; Irwin, M.J. ; Wolf, W.
Author_Institution
Dept. of Comput. Sci. & Eng., Pennsylvania State Univ., University Park, PA, USA
fYear
2004
fDate
2004
Firstpage
133
Lastpage
138
Abstract
Face detection is the first step towards face recognition and is a vital task in surveillance and security applications. Current software implementations of face detection algorithms lack the computational ability to support detection in real time video streams. Consequently, this work focuses on the design of special-purpose hardware for performing rotation invariant face detection. The synthesized design using 160 nm technology is found to operate at 409.5 kHz providing a throughput of 424 frames per second and consumes 7 Watts of power. The synthesized design provided 75% accuracy in detecting faces from a set of 55 images that is competitive with existing software implementations that provide around 80-85% accuracy.
Keywords
embedded systems; face recognition; neural nets; real-time systems; surveillance; 160 nm; 409.5 kHz; 7 W; computational ability; embedded hardware face detection; face recognition; neural nets; real time video streams; security applications; surveillance; Cameras; Computer science; Face detection; Face recognition; Field programmable gate arrays; Hardware; Real time systems; Robot vision systems; Security; Software algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
VLSI Design, 2004. Proceedings. 17th International Conference on
Print_ISBN
0-7695-2072-3
Type
conf
DOI
10.1109/ICVD.2004.1260915
Filename
1260915
Link To Document