An integrated vision-based architecture for home security system

John See, Sze-Wei Lee

Research output: Contribution to journalArticlepeer-review

Abstract

Automated security systems are a useful addition to today's home where safety is an important issue. Vision-based security systems have the advantage of being easy to set up, inexpensive and non-obtrusive. This paper proposes an integrated dual-level vision-based home security system, which consists of two subsystems a face recognition module and a motion detection module. The primary face recognition module functions as a user authentication device. On an event of a failure in the primary system, the secondary motion detection module acts as a reliable backup to detect human-related motions within certain locations inside the home. Novel algorithms have been proposed for both subsystems. Several experiments and field tests conducted have shown good performance and feasible implementation in both subsystems.

Original languageEnglish
Pages (from-to)489-498
Number of pages10
JournalIEEE Transactions on Consumer Electronics
Volume53
Issue number2
DOIs
Publication statusPublished - May 2007

Keywords

  • Face recognition
  • Home security system
  • Integrated architecture
  • Motion detection

ASJC Scopus subject areas

  • Media Technology
  • Electrical and Electronic Engineering

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