An architectural level design methodology for embedded face detection

V. Kianzad, S. Saha, J. Schlessman, G. Aggarwal, S. S. Bhattacharyya, W. Wolf, R. Chellappa

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

Abstract

Face detection and recognition research has attracted great attention in recent years. Automatic face detection has great potential in a large array of application areas, including banking and security system access control, video surveillance, and multimedia information retrieval. In this paper, we discuss an architectural level design methodology for implementation of an embedded face detection system on a reconfigurable system on chip. We present models for performance estimation and validate these models with experimental values obtained from implementing our system on an FPGA platform. This modeling approach is shown to be efficient, accurate, and intuitive for designers to work with. Using this approach, we present several design options that trade-off various architectural features.

Original languageEnglish (US)
Title of host publicationCODES+ISSS 2005 - International Conference on Hardware/Software Codesign and Systems Synthesis
PublisherAssociation for Computing Machinery
Pages136-141
Number of pages6
ISBN (Print)1595931619, 9781595931610
DOIs
StatePublished - 2005
Externally publishedYes
Event3rd IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and Systems Synthesis CODES+ISSS 2005 - Jersey City, NJ, United States
Duration: Sep 18 2005Sep 21 2005

Publication series

NameCODES+ISSS 2005 - International Conference on Hardware/Software Codesign and System Synthesis

Conference

Conference3rd IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and Systems Synthesis CODES+ISSS 2005
Country/TerritoryUnited States
CityJersey City, NJ
Period9/18/059/21/05

Keywords

  • Design space exploration
  • Face detection
  • Reconfigurable plat-forms
  • System-level models

ASJC Scopus subject areas

  • General Engineering

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