Dr. Jason J. Lepley Profile

Dr. Jason J. Lepley

at Leonardo

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Publications (7)

Proceedings Article | 8 October 2018 Presentation + Paper

Autonomous computational intelligence-based behaviour recognition in security and surveillance

Louis Clift, Jason Lepley, Hani Hagras, Adrian Clark

Proceedings Volume 10802, 108020L (2018) https://doi.org/10.1117/12.2325577

KEYWORDS: Fuzzy logic, Cameras, Fuzzy systems, Surveillance, Video, Video surveillance, Sensors, Classification systems, Imaging systems, Machine vision

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This paper presents a novel approach to sensing both suspicious, and task-specific behaviours through the use of advanced computational intelligence techniques. Locating suspicious activity in surveillance camera networks is an intensive task due to the volume of information and large numbers of camera sources to monitor. This results in countless hours of video data being streamed to disk without being screened by a human operator. To address this need, there are emerging video analytics solutions that have introduced new metrics such as people counting and route monitoring, alongside more traditional alerts such as motion detection. There are however few solutions that are sufficiently robust to reduce the need for human operators in these environments, and new approaches are needed to address the uncertainty in identifying and classifying human behaviours, autonomously, from a video stream. In this work we present an approach to address the autonomous identification of human behaviours derived from human pose analysis. Behavioural recognition is a significant challenge due to the complex subtleties that often make up an action; the large overlap in cues results in high levels of classification uncertainty. False alarms are significant impairments to autonomous detection and alerting systems, and over reporting can lead to systems being muted, disabled, or decommissioned. We present results on a Computational- Intelligence based Behaviour Recognition (CIBR) that utilises artificial intelligence to learn, optimise, and classify human activity. We achieve this through extraction of skeleton recognition of human forms within an image. A type-2 Fuzzy logic classifier then converts the human skeletal forms into a set of base atomic poses (standing, walking, etc.), after which a Markov-chain model is used to order a pose sequence. Through this method we are able to identify, with good accuracy, several classes of human behaviour that correlate with known suspicious, or anomalous, behaviours.

Proceedings Article | 25 October 2016 Presentation + Paper

Recognition of complex human behaviours using 3D imaging for intelligent surveillance applications

Bo Yao, Jason Lepley, Robert Peall, Michael Butler, Hani Hagras

Proceedings Volume 9992, 99920H (2016) https://doi.org/10.1117/12.2241088

KEYWORDS: Fuzzy logic, Surveillance, Video surveillance, Fuzzy systems, Stereoscopy, Imaging systems, Machine learning, Detection and tracking algorithms, Video, 3D modeling

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Proceedings Article | 4 June 2011 Paper

Dynamic sensor deployment for the monitoring of chemical releases in urban environments (DYCE)

Jason Lepley, David Lloyd, Alan Robins, Alison Rudd, Ashley Wilks

Proceedings Volume 8018, 801812 (2011) https://doi.org/10.1117/12.883373

KEYWORDS: Sensors, Environmental sensing, Chemical analysis, Data modeling, Atmospheric modeling, Environmental monitoring, Industrial chemicals, Chemical fiber sensors, Sensor networks, Biological and chemical sensing

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Proceedings Article | 23 May 2011 Paper

Detection of buried mines and explosive objects using dual-band thermal imagery

Jason Lepley, Michael Averill

Proceedings Volume 8017, 80171V (2011) https://doi.org/10.1117/12.883375

KEYWORDS: Image segmentation, Medium wave, Image processing, Expectation maximization algorithms, Cameras, Target detection, Land mines, Explosives, Thermography, Imaging systems

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Proceedings Article | 11 May 2011 Paper

Long range target discrimination using UV fluorescence

Mark Bray, Jason Lepley

Proceedings Volume 8037, 803702 (2011) https://doi.org/10.1117/12.883024

KEYWORDS: Sensors, Luminescence, Solar energy, Pulsed laser operation, Receivers, Commercial off the shelf technology, Target detection, Nd:YAG lasers, Diode pumped solid state lasers, Laser energy

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Proceedings Article | 5 May 2010 Paper

A rapidly deployable chemical sensing network for the real-time monitoring of toxic airborne contaminant releases in urban environments

Jason Lepley, David Lloyd

Proceedings Volume 7665, 76650E (2010) https://doi.org/10.1117/12.849643

KEYWORDS: Sensors, Environmental sensing, Chemical analysis, Biological and chemical sensing, Data modeling, Buildings, Chemical fiber sensors, Atmospheric modeling, Environmental monitoring, Industrial chemicals

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Proceedings Article | 2 October 2006 Paper

Toward high-speed access technologies: results from MUSE

Jeroen Wellen, Rob Smets, Wim Hellenthal, Jason Lepley, Ioannis Tsalamanis, Stuart Walker, Anthony Ng'oma, Gert-Jan Rijckenberg, Ton Koonen, Kai Habel, Klaus-Dieter Langer

Proceedings Volume 6390, 639005 (2006) https://doi.org/10.1117/12.685795

KEYWORDS: Coarse wavelength division multiplexing, Modulation, Radio over Fiber, Solar concentrators, Radon, Network architectures, Interfaces, Fiber to the x, Multiplexers, Prototyping

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Showing 5 of 7 publications

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