Video surveillance or monitoring is an important ingredient of modern
life. Research conducted by the 2017Centre for Information, Intelligence
and Security Systems` (CIISS), into improving the reliability of automated
detection of visual entities in videos, has made an impact on public
services and on practitioners (increased speed and quality, lower labour
cost — Beneficiaries: U.K. Police; police investigators) and their health
(mitigation of potential physical or psychological harm — Beneficiaries:
police investigators), on society (reduction of a factor associated with
crime rates and legal costs — Beneficiaries: the public; tax-payers), and
on business (creation of a spin-out company - Adaptive Video Analytics
Technologies Ltd — Beneficiaries: UK; and influence on management
decisions about technology choices — Beneficiaries: Serco Group plc (HMP
Research at Kingston University into methods for tracking sports
participants in an arena have been translated into a BAFTA-award-winning
system deployed by Channel 4 at the London Paralympics: a "multi-platform
Optical Tracking solution for Wheelchair Rugby & Basketball, capable
of detecting live impact speeds"
This system was deployed at the London O2 Arena and the Olympic
Basketball arena, to provide real-time analysis of player speeds,
cumulative distances, impact magnitudes, and other quantitative
statistics. There are plans to extend and improve this technology for
This system had economic benefits for the commercial partner, DeltaTre
Ltd, and social benefits in contributing to Channel 4's positive portrayal
of disabled athletes.
The explosive growth in the number of CCTV cameras has meant that
analysing the volume of data produced has become almost unmanageable.
Dublin based start-up Kinesense Ltd was incorporated in 2009 by Dr Mark
Sugrue, who had carried out his PhD in Video Analytics at Royal Holloway.
New methods to detect motion, track objects and classify behaviour in CCTV
now enable the efficient scanning of video for important events. Kinesense
Ltd has developed a range of forensic video analysis tools, which reduce
the time required to search and analyse video footage by up to 95%. It has
attracted investment funding of over €820,000, employs 7 full time staff
and has made sales to police forces and security agencies in over 17
countries. Kinesense products benefit law enforcement professionals and
organisations by providing more efficient surveillance and detection of
criminal activity, allowing better use of investigator time, reducing the
length of criminal investigations and increasing their success rate. The
general public worldwide benefits from increased crime detection and the
consequent prevention and reduction of criminal activity.
Research at the University of Cambridge Department of Engineering on computer vision tracking
led to the creation of Extra Reality Limited in 2010, which was subsequently acquired by a new
company called Zappar Limited in May 2011. Zappar employs 17 staff and had revenue of
GBP612k in the financial year 2012/13, an increase of 35% on the previous year.
Over 50 different brands have used Zappar's augmented reality application across more than 300
offerings in over 17 countries to deliver entertainment-based marketing interactions from 2011 to
2013. [text removed for publication] Examples of partners include Disney, Warner Brothers and
Marvel. Zappar has changed attitudes in the media sector by showing that "augmented reality is
finally ready for prime time" (President, Creative Strategies Inc, Time Online, 2012).
A new multi-purpose computer vision system to identify sub-standard food
products has been
created. The research developed a user-trainable software technology with
a range of possible
applications, thus overcoming the specificity and other limitations such
as the high set-up cost of
existing visual inspection systems. This research is achieving impact in
several areas within the
food industry, including quality analysis of fresh produce, food
processing and food packaging. The
technology is currently being trialled at the leading post-harvest applied
research facility for
agricultural storage in the UK, and is also being licensed to a
world-leading supplier of food
packaging machines and equipment for inclusion in a new product range
under development. The
longer-term impacts include safer food, reduced food waste, more efficient
food production, and
better use of natural resources (e.g. reduced use of water, pesticides and
other inputs), through
early detection of potentially harmful flaws in production and packaging.
This Keele University research into advanced signal processing and
classification methods has led to novel algorithms capable of isolating
subtle patterns in complex data. This has been applied in two highly
significant application areas: first to the problem of image source
identification and second to the problem of unobtrusive but highly secure
authentication methods. In the first case this has enabled images captured
by mobile phone cameras to be reliably and evidentially linked to source
devices. This has huge applicability to those fighting terrorism,
paedophile rings and civil unrest by extending detection capabilities to
mobile phones in an era in which they are rapidly replacing dedicated
cameras. It helps to prove, for example, that a photograph entered as
evidence was captured by a specific mobile phone. As most phones can be
tied to their user or owner this is extremely important to the successful
detection and prosecution of offenders.
In the second case it has enabled criminal record checks to be carried
out securely online where previous paper-based systems were both too slow
for purpose (taking weeks or months) and inherently insecure, leaving key
posts unfilled in the health care industries and education sector; so
benefitting the public by solving a problem that was having a negative
impact on the running of these public services.
The body of research relating to perception and interpretation of medical
images has generated a
range of impacts on the practice and training of radiologists and
reporting radiographers, with
resultant benefits for patients. Engagement with the research findings has
raised awareness in
clinical practitioners of the implicit strategies they use during medical
image interpretation and in
particular the type and frequency of errors, including the prevalence of
over issues of pathology perception. Practitioners have benefited through
individual strategies, leading to enhanced decision making processes and
reducing error rates in
interpretation of 2D and 3D images.
The impact has been achieved through engagement with the sector through
bodies, practitioner orientated publications and direct involvement of the
research team in training
and development activities for practitioners.
The impact of the research on practitioner diagnostic strategies is
applicable across all areas of
radiology and diagnostic radiography, but is also being explicitly pursued
to determine training
methods and assessment when radiologists view 3D Computed Tomography
for bowel cancer.
Music teachers, physiotherapists, museum curators and other practitioners
have used the results of our research to improve their practice, with
consequent benefits to individuals. For example, a violin teacher used our
MusicJacket haptic guidance system to permanently improve pupil violin
bowing technique. A neuroscience team made use of our Haptic Bracelet
system in a novel form of gait rehabilitation with a patient recovering
from a hemiparetic stroke, who reported improved posture and movement.
Through public participation in events featuring our Haptic Lotus, such as
theatre performances for blind and sighted people, as well as our
engagement in schools and at festivals, we have stimulated public interest
in technologically mediated approaches to issues of health, the arts and
accessibility. This has led to informed public discourse through reports
in national newspapers, magazines and the BBC.
In the late 1990s, a significant barrier to the adoption of virtual
reality software was the expense of manually creating models of real-world
scenes. To address this, between 1998 and 2004, the ICARUS software system
was developed, which enabled the creation of structured, 3D
geometric models from a sequence of images or video. The system also
pioneered improved methods of camera tracking. ICARUS was subsequently
licensed and developed commercially, and became the foundation for video
and film post-production products that are used worldwide in the film
(e.g. Universal Pictures, Warner Bros, Paramount Pictures) and television
(e.g. BBC) industries, underpinning a company with an annual turnover in
excess of £1m.
Research undertaken at UEA developed revolutionary algorithms for making
pictures look better. These algorithms were subsequently engineered into
prize winning desktop and embedded applications, resulting in the creation
of the spinout company, Imsense Ltd., in 2006.
In July 2010, Imsense Ltd. was acquired by [text removed for
publication] and the Imsense technology has now been incorporated into
[text removed for publication] product pipeline.