Embedded hardware face detection

T. Theocharides, G. Link, N. Vijaykrishnan, M. J. Irwin, W. Wolf

Research output: Contribution to journalConference articlepeer-review

65 Scopus citations

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 160nm 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.

Original languageEnglish (US)
Pages (from-to)133-138
Number of pages6
JournalProceedings of the IEEE International Conference on VLSI Design
Volume17
StatePublished - May 24 2004
EventProceedings - 17th International Conference on VLSI Design, Concurrently with the 3rd International Conference on Embedded Systems Design - Mumbai, India
Duration: Jan 5 2004Jan 9 2004

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Electrical and Electronic Engineering

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