Dr. David Tahmoush Profile

Dr. David Tahmoush

at Parsons Corp

SPIE Involvement:

Conference Program Committee | Author | Instructor

Publications (32)

Proceedings Article | 14 June 2023 Poster + Paper

Deep neural networks for detecting anomalies in unintended radiated emissions

Kenneth Witham, Connor Robb, Dave Tahmoush

Proceedings Volume 12549, 125490T (2023) https://doi.org/10.1117/12.2666271

KEYWORDS: Machine learning, Neural networks, Feature extraction, Autoregressive models

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Proceedings Article | 14 June 2023 Poster + Paper

UAV micro-Doppler recognition comparison of HeRM lines versus blade flash phenomenology

Dave Tahmoush, Ken Witham

Proceedings Volume 12535, 125350W (2023) https://doi.org/10.1117/12.2666269

KEYWORDS: Unmanned aerial vehicles, Doppler effect, Radar, Windows, Feature extraction, Fourier transforms, Action recognition, Radar signal processing

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Proceedings Article | 14 June 2023 Poster + Paper

UAV discrimination from birds using radar track information

Dave Tahmoush

Proceedings Volume 12535, 125350X (2023) https://doi.org/10.1117/12.2666281

KEYWORDS: Unmanned aerial vehicles, Radar, Decision trees, Feature extraction

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Proceedings Article | 12 April 2021 Presentation + Paper

Bird micro-doppler simulation for bird versus UAV recognition

David Tahmoush

Proceedings Volume 11742, 1174215 (2021) https://doi.org/10.1117/12.2587214

KEYWORDS: Unmanned aerial vehicles, Radar, Optical simulations, Doppler effect, Beam analyzers

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Proceedings Article | 12 May 2016 Paper

Ontology-based improvement to human activity recognition

David Tahmoush, Claire Bonial

Proceedings Volume 9844, 98440U (2016) https://doi.org/10.1117/12.2228335

KEYWORDS: Video, Computer vision technology, Machine vision, Argon, Pattern recognition, Databases, Data modeling, RGB color model, Head, Feature extraction

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Proceedings Article | 16 June 2015 Paper

Robotic situational awareness of actions in human teaming

Dave Tahmoush

Proceedings Volume 9494, 94940A (2015) https://doi.org/10.1117/12.2177371

KEYWORDS: Robotics, Robots, Video, Databases, Situational awareness sensors, Sensors, Clouds, Imaging systems, Motion analysis, 3D modeling

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Proceedings Article | 1 June 2015 Paper

Fusion of video and radar comparison to 3D ladar for activity recognition

Dave Tahmoush

Proceedings Volume 9460, 94600B (2015) https://doi.org/10.1117/12.2176594

KEYWORDS: Video, Radar, LIDAR, Video surveillance, Databases, Data fusion, Sensors, Computer simulations, RGB color model, Doppler effect

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Proceedings Article | 21 May 2015 Paper

Extracting and analyzing micro-Doppler from ladar signatures

Dave Tahmoush

Proceedings Volume 9461, 94611F (2015) https://doi.org/10.1117/12.2177570

KEYWORDS: Radar, LIDAR, Doppler effect, Databases, Video, Analytical research, 3D metrology, Imaging systems, 3D image processing, 3D modeling

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Proceedings Article | 19 May 2015 Paper

An automated analysis of wide area motion imagery for moving subject detection

Dave Tahmoush

Proceedings Volume 9460, 94600O (2015) https://doi.org/10.1117/12.2177361

KEYWORDS: Cameras, Surveillance, Motion analysis, Sensors, Analytical research, Data conversion, Infrared cameras, LIDAR, Image processing, Image registration

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Proceedings Article | 18 June 2014 Paper

Securing radars using secure wireless sensor networking

David Tahmoush

Proceedings Volume 9097, 90970B (2014) https://doi.org/10.1117/12.2050042

KEYWORDS: Sensor networks, Radar, Receivers, Transmitters, Network security, Reconnaissance, Sensors, Computer security, Reconnaissance systems, Data communications

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Proceedings Article | 3 June 2014 Open Access

Hybrid network intrusion detection (withdrawal notice)

David Tahmoush

Proceedings Volume 9074, 90740G (2014) https://doi.org/10.1117/12.2050043

KEYWORDS: Machine learning, Fuzzy logic, Computer intrusion detection, Computer security, Computer programming, Genetic algorithms, Network security, Sensors, Artificial neural networks, Databases

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Proceedings Article | 29 May 2014 Paper

Micro-Doppler classification of riders and riderless horses

David Tahmoush

Proceedings Volume 9077, 907715 (2014) https://doi.org/10.1117/12.2050041

KEYWORDS: Radar, Doppler effect, Analytical research, Databases, Feature extraction, Independent component analysis, Detection and tracking algorithms, Fourier transforms, Lead, Head

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Proceedings Article | 29 May 2014 Paper

Detection of small UAV helicopters using micro-Doppler

David Tahmoush

Proceedings Volume 9077, 907717 (2014) https://doi.org/10.1117/12.2054329

KEYWORDS: Radar, Unmanned aerial vehicles, Doppler effect, Video, Neodymium, Technetium, Motion measurement, Target detection, Scattering, Velocity measurements

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Proceedings Article | 31 May 2013 Paper

Micro-range micro-doppler for dismount classification

Dave Tahmoush

Proceedings Volume 8714, 87141E (2013) https://doi.org/10.1117/12.2015485

KEYWORDS: Radar, Doppler effect, Video, Databases, Head, Sensors, Analytical research, Extremely high frequency, Motion detection, Stereoscopy

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Proceedings Article | 23 May 2013 Paper

Wideband radar micro-doppler applications

Dave Tahmoush

Proceedings Volume 8734, 873403 (2013) https://doi.org/10.1117/12.2015474

KEYWORDS: Radar, Doppler effect, Analytical research, Signal to noise ratio, Motion models, Fourier transforms, Signal analyzers, Feature extraction, Independent component analysis, Gait analysis

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Proceedings Article | 4 May 2012 Paper

Radar micro-Doppler simulations of classification capability with frequency

David Tahmoush, Jerry Silvious

Proceedings Volume 8361, 83610Z (2012) https://doi.org/10.1117/12.920791

KEYWORDS: Radar, Doppler effect, Motion models, Analytical research, Motion estimation, Unattended ground sensors, Scattering, Ku band, Feature extraction, Signal generators

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Proceedings Article | 4 May 2012 Paper

Radar tracking and classification of littoral targets

Jerry Silvious, Dave Tahmoush

Proceedings Volume 8361, 83610D (2012) https://doi.org/10.1117/12.920792

KEYWORDS: Radar, Surveillance, Target detection, Cameras, Analytical research, Doppler effect, Radar sensor technology, Velocity measurements, Environmental sensing, Current controlled current source

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Proceedings Article | 21 June 2011 Paper

Visualizing and displaying radar micro-doppler data

David Tahmoush, Jerry Silvious

Proceedings Volume 8021, 80210A (2011) https://doi.org/10.1117/12.883447

KEYWORDS: Radar, Doppler effect, Visualization, Biometrics, Analytical research, Radar imaging, Target detection, Feature extraction, Independent component analysis, Data analysis

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Proceedings Article | 21 June 2011 Paper

Human polarimetric micro-doppler

David Tahmoush, Jerry Silvious

Proceedings Volume 8021, 802106 (2011) https://doi.org/10.1117/12.883444

KEYWORDS: Radar, Polarimetry, Doppler effect, Motion measurement, Ka band, Analytical research, Feature extraction, Distance measurement, Polarization, Motion models

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Modern radars can pick up target motions other than just the principle target Doppler; they pick out the small micro-Doppler variations as well. These can be used to visually identify both the target type as well as the target activity. We model and measure some of the micro-Doppler motions that are amenable to polarimetric measurement. Understanding the capabilities and limitations of radar systems that utilize micro-Doppler to measure human characteristics is important for improving the effectiveness of these systems at securing areas. In security applications one would like to observe humans unobtrusively and without privacy issues, which make radar an effective approach. In this paper we focus on the characteristics of radar systems designed for the estimation of human motion for the determination of whether someone is loaded. Radar can be used to measure the direction, distance, and radial velocity of a walking person as a function of time. Detailed radar processing can reveal more characteristics of the walking human. The parts of the human body do not move with constant radial velocity; the small micro-Doppler signatures are timevarying and therefore analysis techniques can be used to obtain more characteristics. Looking for modulations of the radar return from arms, legs, and even body sway are being assessed by researchers. We analyze these techniques and focus on the improved performance that fully polarimetric radar techniques can add. We perform simulations and fully polarimetric measurements of the varying micro-Doppler signatures of humans as a function of elevation angle and azimuthal angle in order to try to optimize this type of system for the detection of arm motion, especially for the determination of whether someone is carrying something in their arms. The arm is often bent at the elbow, providing a surface similar to a dihedral. This is distinct from the more planar surfaces of the body and allows us to separate the signals from the arm (and knee) motion from the rest of the body. The double-bounce can be measured in polarimetric radar data by measuring the phase difference between HH and VV. Additionally, the cross-pol and co-pol Doppler signatures are analyzed, showing that the HH polarization may perform better on dismounts in open grass.

Proceedings Article | 28 October 2010 Paper

A radar unattended ground sensor with micro-Doppler capabilities for false alarm reduction

Dave Tahmoush, Jerry Silvious, Ed Burke

Proceedings Volume 7833, 78330I (2010) https://doi.org/10.1117/12.864959

KEYWORDS: Radar, Unattended ground sensors, Signal processing, Doppler effect, Digital signal processing, Sensors, Radar signal processing, Target detection, Antennas, Radar sensor technology

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Unattended ground sensors (UGS) provide the capability to inexpensively secure remote borders and other areas of interest. However, the presence of normal animal activity can often trigger a false alarm. Accurately detecting humans and distinguishing them from natural fauna is an important issue in security applications to reduce false alarm rates and improve the probability of detection. In particular, it is important to detect and classify people who are moving in remote locations and transmit back detections and analysis over extended periods at a low cost and with minimal maintenance. We developed and demonstrate a compact radar technology that is scalable to a variety of ultra-lightweight and low-power platforms for wide area persistent surveillance as an unattended, unmanned, and man-portable ground sensor. The radar uses micro-Doppler processing to characterize the tracks of moving targets and to then eliminate unimportant detections due to animals as well as characterize the activity of human detections. False alarms from sensors are a major liability that hinders widespread use. Incorporating rudimentary intelligence into sensors can reduce false alarms but can also result in a reduced probability of detection. Allowing an initial classification that can be updated with new observations and tracked over time provides a more robust framework for false alarm reduction at the cost of additional sensor observations. This paper explores these tradeoffs with a small radar sensor for border security. Multiple measurements were done to try to characterize the micro-Doppler of human versus animal and vehicular motion across a range of activities. Measurements were taken at the multiple sites with realistic but low levels of clutter. Animals move with a quadrupedal motion, which can be distinguished from the bipedal human motion. The micro-Doppler of a vehicle with rotating parts is also shown, along with ground truth images. Comparisons show large variations for different types of motion by the same type of animal. This paper presents the system and data on humans, vehicles, and animals at multiple angles and directions of motion, demonstrates the signal processing approach that makes the targets visually recognizable, verifies that the UGS radar has enough micro-Doppler capability to distinguish between humans, vehicles, and animals, and analyzes the probability of correct classification.

Proceedings Article | 27 April 2010 Paper

Radar system on a large autonomous vehicle for personnel avoidance

Jerry Silvious, Ron Wellman, Dave Tahmoush, John Clark

Proceedings Volume 7669, 766905 (2010) https://doi.org/10.1117/12.850420

KEYWORDS: Radar, Doppler effect, Video, Sensors, Global Positioning System, Environmental sensing, Robots, Velocity measurements, Antennas, Analytical research

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Proceedings Article | 27 April 2010 Paper

An UGS radar with micro-Doppler capabilities for wide area persistent surveillance

Dave Tahmoush, Jerry Silvious, John Clark

Proceedings Volume 7669, 766904 (2010) https://doi.org/10.1117/12.848233

KEYWORDS: Radar, Unattended ground sensors, Doppler effect, Surveillance, Sensors, Fourier transforms, Signal processing, Feature extraction, Analytical research, Information security

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Proceedings Article | 11 March 2010 Paper

CBIR for mammograms using medical image similarity

David Tahmoush

Proceedings Volume 7628, 76280A (2010) https://doi.org/10.1117/12.844247

KEYWORDS: Cancer, Medical imaging, Mammography, Computer aided design, Feature extraction, Breast, Databases, Image retrieval, Visualization, Breast cancer

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Proceedings Article | 18 January 2010 Paper

Recognizing and tracking humans and vehicles using radar

David Tahmoush, Jerry Silvious

Proceedings Volume 7539, 753907 (2010) https://doi.org/10.1117/12.837083

KEYWORDS: Radar, Doppler effect, Sensors, Feature extraction, Detection and tracking algorithms, Video, Analytical research, Environmental sensing, Robotics, Gait analysis

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Proceedings Article | 29 April 2009 Paper

Micro-Doppler phenomenology of humans at UHF and Ku-band for biometric characterization

Jerry Silvious, John Clark, Thomas Pizzillo, Dave Tahmoush

Proceedings Volume 7308, 73080X (2009) https://doi.org/10.1117/12.820995

KEYWORDS: Biometrics, Radar, Doppler effect, Ku band, Phase modulation, Chest, Amplitude modulation, Analytical research, Scattering, Signal generators

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Proceedings Article | 14 March 2009 Paper

Minimizing errors in ultrasound measurements

Dave Tahmoush

Proceedings Volume 7265, 72651H (2009) https://doi.org/10.1117/12.811468

KEYWORDS: Ultrasonography, Arteries, Distance measurement, Feature extraction, Optical filters, Printing, Pixel resolution, Image quality, Analytical research, Visualization

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Proceedings Article | 13 March 2009 Paper

Automated ultrasound measurement of artery thickness

Dave Tahmoush, Yu-Bu Lee, Myoung-Hee Kim

Proceedings Volume 7265, 72650G (2009) https://doi.org/10.1117/12.811376

KEYWORDS: Arteries, Ultrasonography, Diffusion, Image segmentation, Image filtering, Speckle, Computer programming, Image enhancement, Distance measurement, Image quality

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Proceedings Article | 13 March 2009 Paper

A learned distance function for medical image similarity retrieval

Dave Tahmoush

Proceedings Volume 7264, 726406 (2009) https://doi.org/10.1117/12.811365

KEYWORDS: Medical imaging, Cancer, Mammography, Image retrieval, Computer aided design, Breast, Medical research, Breast cancer, Databases, Computer aided diagnosis and therapy

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Proceedings Article | 30 March 2007 Paper

An improved asymmetry measure to detect breast cancer

Dave Tahmoush, Hanan Samet

Proceedings Volume 6514, 65141Q (2007) https://doi.org/10.1117/12.708327

KEYWORDS: Mammography, Computer aided design, Cancer, Breast cancer, Computer aided diagnosis and therapy, CAD systems, Breast, Digital mammography, Computing systems

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Proceedings Article | 21 March 2007 Paper

A new database for medical images and information

Dave Tahmoush, Hanan Samet

Proceedings Volume 6516, 65160G (2007) https://doi.org/10.1117/12.708309

KEYWORDS: Medical imaging, Databases, Human-machine interfaces, Image retrieval, Feature extraction, Image encryption, Picture Archiving and Communication System, Information security, Image transmission, Data storage

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Proceedings Article | 21 March 2007 Paper

A web collaboration system for content-based image retrieval of medical images

Dave Tahmoush, Hanan Samet

Proceedings Volume 6516, 65160E (2007) https://doi.org/10.1117/12.702592

KEYWORDS: Medical imaging, Feature extraction, Image storage, Cancer, Diagnostics, Analytical research, Content based image retrieval, Image retrieval, Medical research, Databases

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Proceedings Article | 10 March 2006 Paper

Dave Tahmoush, Hanan Samet

Proceedings Volume 6144, 61441S (2006) https://doi.org/10.1117/12.652643

KEYWORDS: Mammography, Cancer, Breast cancer, Breast, Medical imaging, Image filtering, Wavelets, Machine learning, Computer aided diagnosis and therapy, Solid modeling

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Showing 5 of 32 publications

Conference Committee Involvement (15)

Radar Sensor Technology XXVIII

22 April 2024 | National Harbor, Maryland, United States

Radar Sensor Technology XXVII

1 May 2023 | Orlando, Florida, United States

Radar Sensor Technology XXVI

4 April 2022 | Orlando, Florida, United States

Radar Sensor Technology XXV

12 April 2021 | Online Only, Florida, United States

Radar Sensor Technology XXIV

27 April 2020 | Online Only, California, United States

Showing 5 of 15 Conference Committees

Course Instructor

SC1031: Radar Micro-Doppler Signatures - Principles and Applications

This course explains basic principles and applications of the micro-Doppler signatures of radar targets. A micro-Doppler signature is a distinctive characteristic of the intricate frequency modulations generated from each component part of a target and is represented in the joint time and Doppler frequency domain. Micro-Doppler signatures provide unique target features that are complementary to those made available by existing methods. The primary goals of the course are to describe the radar micro-Doppler effect, the mathematical and dynamic models of targets with various motions and the analysis of micro-Doppler signatures. The course will present current applications of radar micro-Doppler signature analysis to target detection, characterization, and classification. Radar data returned from rigid body motion and non-rigid body motion will be used in the presentation examples as well as simulations. Examples are shown from state-of-the-art radars in both anechoic chambers and realistic environments.

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