NDLI: Video motion detection systems: a review for the nineties

Content Provider	IEEE Xplore Digital Library
Author	Rodger, R.M. Grist, I.J. Peskett, A.O.
Copyright Year	1994
Description	Author affiliation: Police Sci. Dev. Branch, Home Office, Horsham, UK (Rodger, R.M.; Grist, I.J.; Peskett, A.O.)
Abstract	Video motion detection systems (VMDs) have been available for many years. The development of microprocessors has enabled improvements to be made, particularly during the early 1980s, to the performance of these systems. Some further advances have been made in the 1990s. Most recently, relatively inexpensive computer based systems incorporating neural networks, have been employed for Intelligent Scene Monitoring (ISM). ISM identifies user defined events while ignoring other activity in the scene. It adapts to changing backgrounds and can be straightforward to set up and operate. Another recent innovation has used the geometry of three-dimensional space rather than the two dimensions of a single closed circuit television (CCTV) image. This is achieved by analyzing the overlap of television images, from more than one TV camera. This paper reviews the development of VMD, describes methods of operation and presents performance information on some recently developed systems.
Starting Page	92
Ending Page	97
File Size	448118
Page Count	6
File Format	PDF
ISBN	0780314794
DOI	10.1109/CCST.1994.363788
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1994-10-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Video recording Motion analysis TV surveillance systems
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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