Dr. Darrell L. Young Profile

Dr. Darrell L. Young

at Southern Methodist Univ

SPIE Involvement:

Author | Editor

Proceedings Article | 16 June 2023 Poster + Paper

City scale autonomy learning

Sydney Gibbs, Mitchell Thornton, Darrell Young

Proceedings Volume 12525, 125250M (2023) https://doi.org/10.1117/12.2668812

KEYWORDS: Machine learning, Visibility, Geographic information systems, Covariance, Collision avoidance, Monte Carlo methods, Unmanned vehicles

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Proceedings Article | 13 June 2023 Presentation + Paper

Adding RF situational awareness to robotic simulation systems

Sydney Gibbs, Mitch Thornton, Darrell Young

Proceedings Volume 12540, 1254009 (2023) https://doi.org/10.1117/12.2668808

KEYWORDS: Autonomous driving, Risk assessment, Cyberattacks, Monte Carlo methods, Angle measurement, Signal to noise ratio, Error analysis, Covariance, Receivers, Machine learning, Environmental sensing, Sensors, Situational awareness sensors, Robotics, Collision avoidance

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Proceedings Article | 21 April 2020 Paper

Automatic construction of Markov decision process models for multi-agent reinforcement learning

Darrell Young, Chris Eccles

Proceedings Volume 11413, 114130Y (2020) https://doi.org/10.1117/12.2557823

KEYWORDS: Process modeling, Satellites, Data modeling, Surveillance, Robotics, Computer programming, Space operations

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Proceedings Article | 21 April 2020 Paper

Deep net route generation faster than a bullet

Darrell Young, Chris Eccles

Proceedings Volume 11398, 1139808 (2020) https://doi.org/10.1117/12.2559743

KEYWORDS: Neural networks, Computer simulations, Network architectures, Computer programming, Process modeling, Finite element methods, Systems modeling, Motion models, Complex systems

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Proceedings Article | 13 May 2019 Paper

Detection of illegal fishing

Darrell Young

Proceedings Volume 10992, 109920B (2019) https://doi.org/10.1117/12.2520091

KEYWORDS: Artificial intelligence, Satellites, Synthetic aperture radar, Databases, Image processing, Satellite imaging, Surveillance, Earth observing sensors, Machine learning, Clouds

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Proceedings Article | 9 June 2014 Paper

Effect of video decoder errors on video interpretability

Darrell Young

Proceedings Volume 9076, 907606 (2014) https://doi.org/10.1117/12.2051038

KEYWORDS: Video, Video compression, Error analysis, Video surveillance, Sensors, Target detection, Automatic repeat request, Forward error correction, Computer programming, Image compression

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Proceedings Article | 31 May 2013 Paper

Cognitive video quality analysis

Darrell Young, Charles Li

Proceedings Volume 8713, 87130Y (2013) https://doi.org/10.1117/12.2018217

KEYWORDS: Video, Video compression, Cameras, Video surveillance, Video processing, Computer programming, Motion analysis, Image processing, Sensors, Motion estimation

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Proceedings Article | 24 May 2012 Paper

Standard metrics for a plug-and-play tracker

Jim Antonisse, Darrell Young

Proceedings Volume 8389, 83890Q (2012) https://doi.org/10.1117/12.919927

KEYWORDS: Standards development, Detection and tracking algorithms, Motion models, Information theory, Image resolution, Computing systems, Motion detection, Pathology, Sensors, Intelligence systems

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Proceedings Article | 26 May 2011 Paper

Task based video interpretability as a function of frame rate, playback rate, and target motion

Darrell Young, Tariq Bakir, Robert Butto

Proceedings Volume 8020, 80200S (2011) https://doi.org/10.1117/12.886799

KEYWORDS: Video, Computer programming, Cameras, Statistical analysis, Video surveillance, Motion analysis, Signal to noise ratio, Motion models, Bridges, Thulium

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Proceedings Article | 17 May 2011 Paper

Cognitive modeling to predict video interpretability

Darrell Young, Tariq Bakir

Proceedings Volume 8053, 80530M (2011) https://doi.org/10.1117/12.887100

KEYWORDS: Video, Video surveillance, Cognitive modeling, Video compression, Signal to noise ratio, Video processing, Quality measurement, Cameras, Motion measurement, Image processing

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Proceedings Article | 24 January 2011 Paper

Video quality and interpretability study using SAMVIQ and Video-NIIRS

Darrell Young, Jeff Ruszczyk, Tariq Bakir

Proceedings Volume 7867, 78670W (2011) https://doi.org/10.1117/12.876730

KEYWORDS: Video, Cameras, Computer programming, Video compression, Calibration, Video surveillance, Image quality, Modulation, Signal to noise ratio, Motion measurement

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Proceedings Article | 26 April 2010 Paper

Darrell Young, Tariq Bakir, Robert Butto, Fred Petitti

Proceedings Volume 7668, 76680N (2010) https://doi.org/10.1117/12.849582

KEYWORDS: Video, Scattering, Modulation transfer functions, Signal attenuation, Video surveillance, Situational awareness sensors, Atmospheric particles, Turbulence, Signal to noise ratio, Target detection

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Proceedings Article | 18 January 2010 Paper

Loss of interpretability due to compression effects as measured by the new video NIIRS

Darrell Young, Tariq Bakir, Robert Butto, Charles Duffield, Fred Petitti

Proceedings Volume 7529, 75290V (2010) https://doi.org/10.1117/12.838644

KEYWORDS: Video, Video compression, Video surveillance, Image quality, Computer programming, Signal to noise ratio, Quality measurement, Temporal resolution, Image processing, Visualization

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Proceedings Article | 29 April 2009 Paper

Video National Imagery Interpretability Rating Scale criteria survey results

Darrell Young, James Yen, Fred Petitti, Tariq Bakir, Michelle Brennan, Robert Butto

Proceedings Volume 7307, 73070G (2009) https://doi.org/10.1117/12.816546

KEYWORDS: Motion analysis, Visualization, Video, Optical tracking, Image analysis, Missiles, Visual analytics, Statistical analysis, Spatial resolution, Image quality

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Proceedings Article | 14 April 2008 Paper

Color in perceptual tracking using low frame rate motion imagery

Darrell Young, Tariq Bakir, Fred Petitti, Michelle Brennan, Chris Kavanagh, Rob Butto

Proceedings Volume 6946, 69460A (2008) https://doi.org/10.1117/12.778915

KEYWORDS: Video, Video surveillance, Surveillance, Motion estimation, Motion analysis, Motion measurement, Visualization, RGB color model, Cameras, Calibration

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