Share Email Print
cover

Optical Engineering • Open Access

Fuzzy logic and optical correlation-based face recognition method for patient monitoring application in home video surveillance
Author(s): Marwa Elbouz; Alfalou Ayman; Christian Brosseau

Paper Abstract

Home automation is being implemented into more and more domiciles of the elderly and disabled in order to maintain their independence and safety. For that purpose, we propose and validate a surveillance video system, which detects various posture-based events. One of the novel points of this system is to use adapted Vander-Lugt correlator (VLC) and joint-transfer correlator (JTC) techniques to make decisions on the identity of a patient and his three-dimensional (3-D) positions in order to overcome the problem of crowd environment. We propose a fuzzy logic technique to get decisions on the subject's behavior. Our system is focused on the goals of accuracy, convenience, and cost, which in addition does not require any devices attached to the subject. The system permits one to study and model subject responses to behavioral change intervention because several levels of alarm can be incorporated according different situations considered. Our algorithm performs a fast 3-D recovery of the subject's head position by locating eyes within the face image and involves a model-based prediction and optical correlation techniques to guide the tracking procedure. The object detection is based on (hue, saturation, value) color space. The system also involves an adapted fuzzy logic control algorithm to make a decision based on information given to the system. Furthermore, the principles described here are applicable to a very wide range of situations and robust enough to be implementable in ongoing experiments.

Paper Details

Date Published: 1 June 2011
PDF: 14 pages
Opt. Eng. 50(6) 067003 doi: 10.1117/1.3582861
Published in: Optical Engineering Volume 50, Issue 6
Show Author Affiliations
Marwa Elbouz, Institut Superieur de l'Electronique et du Numerique (France)
Alfalou Ayman, Institut Superieur de l'Electronique et du Numerique (France)
Christian Brosseau, Univ. de Bretagne Occidentale (France)


© SPIE. Terms of Use
Back to Top