Title :
Near-IR Sparse Detector Sensor for Intelligent Electronic Fence Applications
Author :
Russomanno, David J. ; Chari, Srikant ; Jacobs, Eddie L. ; Halford, Carl
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Memphis, Memphis, TN, USA
fDate :
6/1/2010 12:00:00 AM
Abstract :
A proof-of-concept, active near-IR sensor coupled with a classification algorithm that uses the Mahalanobis distance has been shown to be a feasible approach for discriminating among humans, animals, and vehicles for intelligent electronic fence applications. Analysis shows that only a sparse vertical array of detectors is required to sense minimal features from moving objects for reliable discrimination.
Keywords :
home automation; infrared detectors; object recognition; Mahalanobis distance; classification algorithm; intelligent electronic fence applications; near infrared sparse detector sensor; Animals; Data acquisition; Detectors; Humans; Intelligent sensors; Optical sensors; Prototypes; Sensor arrays; Sensor systems; Vehicles; Sparse detector; unattended ground sensor;
Journal_Title :
Sensors Journal, IEEE
DOI :
10.1109/JSEN.2009.2038894