Dr. Monique P. Fargues Profile

Dr. Monique P. Fargues

Professor at Naval Postgraduate School

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Author

Publications (5)

SPIE Journal Paper | 1 August 2007

Uncooled infrared-imaging face recognition using kernel-based generalized discriminant analysis

Dimitrios Domboulas, Monique Fargues, Gamani Karunasiri

OE, Vol. 46, Issue 08, 087201, (August 2007) https://doi.org/10.1117/12.10.1117/1.2769638

KEYWORDS: Infrared cameras, Infrared imaging, Mahalanobis distance, Facial recognition systems, Infrared radiation, Cameras, Databases, Optical engineering, Visible radiation, Data acquisition

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SPIE Journal Paper | 1 January 2006

Investigation of uncooled infrared imagery for face recognition

Diogo Pereira, Monique Fargues, Gamani Karunasiri

OE, Vol. 45, Issue 01, 016401, (January 2006) https://doi.org/10.1117/12.10.1117/1.2151787

KEYWORDS: Principal component analysis, Infrared imaging, Databases, Facial recognition systems, Infrared cameras, Cameras, Infrared radiation, Image classification, Thermography, Error analysis

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Proceedings Article | 1 April 2003 Paper

CB detection and early warning--fusing disparate sensors into the detection process: program overview

Amnon Birenzvige, David Sickenberger, Felix Reyes, William Underwood, Christian Reiff, David Gonski, Monique Fargues, Bruce Nelson

Proceedings Volume 5099, (2003) https://doi.org/10.1117/12.497980

KEYWORDS: Sensors, Artillery, Situational awareness sensors, Acoustics, Biological detection systems, Information fusion, Detection and tracking algorithms, Roads, Cameras, Computer intrusion detection

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Improved situational awareness is a primary goal for the Objective Force. Knowing where the enemy is and what are the threats to his troops provides the commander with the information he needs to plan his mission and provide his forces with maximum protection from the variety of threats that are present on the battlefield. Sensors play an important role in providing critical information to enhance situational awareness. The sensors that are used on the battlefield include, among others, seismic, acoustic, and cameras in different spectral ranges of the electro-magnetic spectrum. These sensors help track enemy movement and serve as part of an intrusion detection system. Characteristically these sensors are relatively cheap and easy to deploy. Chemical and biological agent detection is currently relegated to sensors that are specifically designed to detect these agents. Many of these sensors are collocated with the troops. By the time alarm is sounded the troops have already been exposed to the agent. In addition, battlefield contaminants frequently interfere with the performance of these sensors and result in false alarms. Since operating in a contaminated environment requires the troops to don protective garments that interfere with their performance we need to reduce false alarms to an absolute minimum. The Edgewood Chemical and Biological Center (ECBC) is currently conducting a study to examine the possibility of detecting chemical and biological weapons as soon as they are deployed. For that purpose we conducted a field test in which the acoustic, seismic and electro-magnetic signatures of conventional and simulated chemical / biological artillery 155mm artillery shells were recorded by an array of corresponding sensors. Initial examination of the data shows a distinct differences in the signatures of these weapons. In this paper we will provide detailed description of the test procedures. We will describe the various sensors used and describe the differences in the signatures generated by the conventional and the (simulated) chemical rounds. This paper will be followed by other papers that will provide more details information gained by the various sensors and describe how fusing the data enhance the reliability of the CB detection process.

Proceedings Article | 1 April 2003 Paper

Discrimination of chemical/biological versus high-explosive artillery rounds using acoustic and seismic data fusion

Christian Reiff, Monique Fargues, David Gonski

Proceedings Volume 5099, (2003) https://doi.org/10.1117/12.488671

KEYWORDS: Sensors, Acoustics, Explosives, Artillery, Seismic sensors, Head, Data fusion, Infrared cameras, Wavelets, Infrared sensors

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Proceedings Article | 1 November 1993 Paper

Applications of time-frequency and time-scale transforms to ultra-wideband radar transient signal detection

Monique Fargues, William Brooks

Proceedings Volume 2027, (1993) https://doi.org/10.1117/12.160433

KEYWORDS: Time-frequency analysis, Transform theory, Radar, Wavelets, Reflectors, UWB radar, Electromagnetic coupling, Discrete wavelet transforms, Signal detection, Digital filtering

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