A unified streaming architecture for real time face detection and gender classification

Kevin Irick, Michael DeBole, Vijaykrishnan Narayanan, Rajeev Sharma, Hankyu Moon, Satish Mummareddy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations

Abstract

An integral part of interactive computing environments are systems that have the ability to process information about their users in real-time. In many cases it is desirable to not only recognize a human user but also to extract as much information about the user as possible, such as gender, ethnicity, age, etc. In this paper we present an FPGA implementation of a neural network configured specifically for performing face detection and gender classification in real-time video streams. Our streaming architecture performs the face and gender classification tasks at 30 frames per second on a small sized Virtex-4 FPGA, at accuracy comparable to that of a leading commercial software implementation.

Original languageEnglish (US)
Title of host publicationProceedings - 2007 International Conference on Field Programmable Logic and Applications, FPL
Pages267-272
Number of pages6
DOIs
StatePublished - 2007
Event2007 International Conference on Field Programmable Logic and Applications, FPL - Amsterdam, Netherlands
Duration: Aug 27 2007Aug 29 2007

Publication series

NameProceedings - 2007 International Conference on Field Programmable Logic and Applications, FPL

Other

Other2007 International Conference on Field Programmable Logic and Applications, FPL
CountryNetherlands
CityAmsterdam
Period8/27/078/29/07

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering

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