Dr. David J. Salmond Profile

Dr. David J. Salmond

at QinetiQ Ltd

SPIE Involvement:

Author

Publications (12)

Proceedings Article | 3 October 2008 Paper

Material requirements for bio-inspired sensing systems

Peter Biggins, Peter Lloyd, David Salmond, Anne Kusterbeck

Proceedings Volume 7118, 71180H (2008) https://doi.org/10.1117/12.801702

KEYWORDS: Sensors, Biomimetics, Sensing systems, Receptors, Particles, Organisms, Data processing, Water, Biological research, Navigation systems

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Proceedings Article | 15 September 2005 Paper

Poisson models for extended target and group tracking

Kevin Gilholm, Simon Godsill, Simon Maskell, David Salmond

Proceedings Volume 5913, 59130R (2005) https://doi.org/10.1117/12.618730

KEYWORDS: Particle filters, Particles, Sensors, Digital filtering, Electronic filtering, Statistical analysis, Motion models, Stochastic processes, Modeling, Superposition

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Proceedings Article | 25 August 2004 Paper

A novel MCMC tracker for stressing scenarios

Nick Everett, Shien-Shin Tham, David Salmond

Proceedings Volume 5428, (2004) https://doi.org/10.1117/12.541583

KEYWORDS: Particle filters, Monte Carlo methods, Detection and tracking algorithms, Algorithm development, Statistical analysis, Electronic filtering, Sensors, Nonlinear filtering, Solids, Digital filtering

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Proceedings Article | 7 August 2002 Paper

Efficient particle filtering for multiple target tracking with application to tracking in structured images

Simon Maskell, Malcolm Rollason, Neil Gordon, David Salmond

Proceedings Volume 4728, (2002) https://doi.org/10.1117/12.478509

KEYWORDS: Particles, Particle filters, Filtering (signal processing), Electronic filtering, Image filtering, Monte Carlo methods, Nonlinear filtering, Systems modeling, Silicon, Point spread functions

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Proceedings Article | 7 August 2002 Paper

Bayesian approach to avoiding track seduction

David Salmond, Nicholas Everett

Proceedings Volume 4728, (2002) https://doi.org/10.1117/12.478523

KEYWORDS: Digital filtering, Monte Carlo methods, Sensors, Detection and tracking algorithms, Data modeling, Target detection, Neodymium, Time metrology, Environmental sensing, Algorithm development

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Proceedings Article | 13 July 2000 Paper

Group tracking with limited sensor resolution and finite field of view

David Salmond, Neil Gordon

Proceedings Volume 4048, (2000) https://doi.org/10.1117/12.392015

KEYWORDS: Sensors, Optical resolution, Particle filters, Particles, Neodymium, Space sensors, Target detection, Motion models, Electronic filtering, Composites

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Proceedings Article | 4 October 1999 Paper

Group and extended object tracking

David Salmond, Neil Gordon

Proceedings Volume 3809, (1999) https://doi.org/10.1117/12.364028

KEYWORDS: Electro optical modeling, Sensors, Particle filters, Digital filtering, Affine motion model, Neodymium, Electronic filtering, Electro optical sensors, Nonlinear filtering, Motion models

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Proceedings Article | 3 September 1998 Paper

Tracking in the presence of intermittent spurious objects and clutter

David Salmond, David Fisher, Neil Gordon

Proceedings Volume 3373, (1998) https://doi.org/10.1117/12.324639

KEYWORDS: Sensors, Composites, Electronic filtering, Digital filtering, Optical resolution, Data modeling, Astatine, Target detection, Particle filters, Monte Carlo methods

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Proceedings Article | 30 July 1998 Paper

Target acquisition/selection: a comparison between a Bayesian technique and the Munkres algorithm

Neil Gordon, David Salmond, Nicholas Everett

Proceedings Volume 3365, (1998) https://doi.org/10.1117/12.317519

KEYWORDS: Target detection, Fluorescence correlation spectroscopy, Detection and tracking algorithms, Target acquisition, Monte Carlo methods, Missiles, Algorithm development, Distance measurement, Roads, Control systems

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Proceedings Article | 29 October 1997 Paper

Bayesian target tracking after group pattern distortion

Neil Gordon, David Salmond, David Fisher

Proceedings Volume 3163, (1997) https://doi.org/10.1117/12.283961

KEYWORDS: Neodymium, Target detection, Motion models, Sensors, Digital filtering, Distortion, Device simulation, Electronic filtering, Superposition, Clouds

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Proceedings Article | 31 May 1996 Paper

Bayesian target selection after group pattern distortion

Neil Gordon, David Salmond

Proceedings Volume 2759, (1996) https://doi.org/10.1117/12.241191

KEYWORDS: Target detection, Sensors, Neodymium, Motion models, Motion measurement, Detection and tracking algorithms, Time metrology, Distortion, Modeling, Information operations

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Proceedings Article | 1 October 1990 Paper

Mixture reduction algorithms for target tracking in clutter

D. Salmond

Proceedings Volume 1305, (1990) https://doi.org/10.1117/12.2321784

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Showing 5 of 12 publications

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