Open Access
1 June 2011 Fuzzy logic and optical correlation-based face recognition method for patient monitoring application in home video surveillance
Marwa Elbouz, Alfalou Ayman, Christian Brosseau
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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.
©(2011) Society of Photo-Optical Instrumentation Engineers (SPIE)
Marwa Elbouz, Alfalou Ayman, and Christian Brosseau "Fuzzy logic and optical correlation-based face recognition method for patient monitoring application in home video surveillance," Optical Engineering 50(6), 067003 (1 June 2011). https://doi.org/10.1117/1.3582861
Published: 1 June 2011
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CITATIONS
Cited by 33 scholarly publications.
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KEYWORDS
Head

Fuzzy logic

Video

Optical correlators

Facial recognition systems

Video surveillance

Image segmentation

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