scispace - formally typeset
Proceedings ArticleDOI

AMETHYST: an enhanced detection system intelligently combining video detection and non-video detection systems

M. Horner
- pp 59-66
TLDR
The aim of the AMETHYST project is to encourage the development of a high performance perimeter intrusion detection system by combining Intelligent Scene Monitoring or Video Motion Detection technology with another detection system to produce a detection system with a high probability of detection and low false alarm rate.
Abstract
The aim of the AMETHYST project (AutoMatic Event auTHentication SYSTems) is to encourage the development of a high performance perimeter intrusion detection system by combining Intelligent Scene Monitoring (ISM) or Video Motion Detection (VMD) technology with another detection system The two systems would complement each other to produce a detection system with a high probability of detection and low false alarm rate The performance of Perimeter Intrusion Detection Systems (PIDS) is often poor at sites with long perimeters, with extreme weather conditions and requiring a high probability of detection Video based detection systems (ISM and VMD) are improving in sophistication and performance Despite this there are still limitations with video based defection Firstly, it may be several years before the video PIDS achieve the performance required for long perimeters Secondly, when there is no video, for example in fog, there is no detection There is potential for combining video detection with another sensor to reduce the disadvantages of video whilst retaining its advantages A non-video SIDS would be used to detect intrusions On alarm a sequence of CCTV images would be captured by a loop framestore system A Targeted Automatic Verification Aid (TAVA) would then be used to decide if there was suspicious activity in the alarm sequence Many false alarms have no visible cause, so a TAVA would filter these out The false alarm rate would be lower than with a normal VMD as a TAVA would need to assess only alarm sequences If there is no video or it is too foggy the TAVA would 'fail safe' by signalling the alarm from the non-video PIDS A TAVA could use more sophisticated processing than a VMD and still be cheaper, because it could target the processing PSDB is planning to collect alarm sequences from sites with a non-video PIDS and a loop framestore connected to the CCTV system These sequences will be used to prove the concept and evaluate the performance of a TAVA

read more

Citations
More filters
Patent

Abnormality detection and surveillance system

David G. Aviv
TL;DR: In this paper, a surveillance system with at least one primary video camera for translating real images of a zone into electronic video signals at a first level of resolution is presented, which includes means for sampling movements of an individual or individuals located within the zone from the video signal output from at least 1 video camera.
Journal ArticleDOI

Security applications of computer vision

TL;DR: Some of the most recent developments in computer vision and image processing for challenging outdoor perimeter security applications are reviewed and the efforts of development teams to integrate some of these advanced ideas into coherent prototype development systems are described.
Proceedings ArticleDOI

AMETHYST: automatic alarm assessment: becoming a reality

TL;DR: The hardware and software used with the AMETHYST system, which will automatically assess the cause of all PIDS alarms and pass to an operator only those alarms which are likely to be caused by an intruder, are described.
Proceedings ArticleDOI

AMETHYST: automatic alarm assessment: operational experience

TL;DR: The aim of the AMETHYST (Automatic Event Authentication Systems) project is to encourage the development of a high-performance perimeter detection system by using video assessment to enhance the Perimeter Intrusion Detection System.
Journal ArticleDOI

AMETHYST: automatic alarm assessment becoming a reality

TL;DR: The aim of the AMETHYST (AutoMatic Event auTHentication SYSTems) project is to encourage the development of a high performance perimeter detection system which combines Video Motion Detection technology with another type of Perimeter Intrusion Detection system.
References
More filters
Proceedings ArticleDOI

Model-based vision for automatic alarm interpretation

TL;DR: The further development of a previously reported knowledge-based vision recognition system for automating the interpretation of alarm events resulting from a perimeter intrusion detection system (PIDS) is reported.
Proceedings ArticleDOI

A target cueing and tracking system (TCATS) for smart video processing

TL;DR: A smart system that uses state-of-the-art image processing techniques to detect and track targets moving in video or infrared imagery is presented and can be incorporated into an existing video assessment system without a major cost outlay intruder.
Proceedings ArticleDOI

Video motion detection systems: a review for the nineties

TL;DR: The development of VMD is reviewed, methods of operation are described and performance information on some recently developed systems are presented.
Proceedings ArticleDOI

Image surveillance systems: some novel design features

TL;DR: Novel design features aimed at enhancing the overall performance of the imaging system with cost saving implications are presented.
Proceedings ArticleDOI

Evaluating scene monitoring systems: a discussion paper

TL;DR: The view taken in evaluating scene monitoring systems has been to work closely with the potential end users of the systems to see how the systems perform in real life settings, as they contain such a wide range of changes.