skip navigation

PUBLICATIONS

Register for Latest Research

Stay Informed
Register with NCJRS to receive NCJRS's biweekly e-newsletter JUSTINFO and additional periodic emails from NCJRS and the NCJRS federal sponsors that highlight the latest research published or sponsored by the Office of Justice Programs.

NCJRS Abstract

The document referenced below is part of the NCJRS Virtual Library collection. To conduct further searches of the collection, visit the Virtual Library. See the Obtain Documents page for direction on how to access resources online, via mail, through interlibrary loans, or in a local library.

 

NCJ Number: 194514 Find in a Library
Title: Transition From Video Motion Detection to Intelligent Scene Discrimination and Target Tracking in Automated Video Surveillance Systems
Journal: Security Journal  Volume:15  Issue:2  Dated:2002  Pages:69-78
Author(s): Layne Hesse
Date Published: 2002
Page Count: 10
Publisher: http://www.perpetuitypress.com 
Type: Report (Technical)
Format: Article
Language: English
Country: United Kingdom
Annotation: Current advances in closed circuit television (CCTV) through the use of video motion detection (VMD) and artificial intelligence have effectively reduced the need for police resources and are presented in detail.
Abstract: The closed circuit television (CCTV) industry has recently experienced rapid growth attributable to technological advances, reduced costs, public acceptance of the devices, and the expanded range of uses for the equipment. CCTV has been used effectively indoors and outdoors. Recently the number of cameras requiring monitoring has overwhelmed security personnel and led to the development of automated video surveillance systems. Video Motion Detection (VMD) has made significant contributions to alarm verification for outdoor detection. VMD has gained popularity because of improvements in imaging and reductions in false alarm rates. Automated video surveillance systems themselves are quickly becoming obsolete. New technological advances have enhanced automated video surveillance through the use of computer vision and artificial intelligence. VMD have been transformed into intelligent automated video surveillance (IAVS) systems. The high rate of false alarms and lack of policemen and trained security personnel able to respond led to the creation of security systems capable of providing visual verification of intruders. Digital video motion detection processes a scene by dividing it into zones. Each zone is individually monitored for changes in light and detection of passive movement. VMD relies on image processing algorithms and software. VMD offers several advantages over other perimeter intrusion detection (PID) systems including: visual verification; use of exiting CCD cameras; enhancement of CCTV into PID; ability to track intruders movements; remote operation; software driven; compatibility with automated video surveillance; and unlimited field of view. In conclusion, VMD has made the use of CCTV cameras as perimeter intruder devices possible. VMD systems are focused on detection, alarm verification, and automated video surveillance. The incorporation of artificial intelligence into VMD's has led to better discrimination in outdoor applications and greater overall reliability. 38 Notes
Main Term(s): Closed circuit television (CCTV); Video imaging
Index Term(s): Camera technology; Security surveillance systems; Security systems; Surveillance equipment
To cite this abstract, use the following link:
http://www.ncjrs.gov/App/publications/abstract.aspx?ID=194514

*A link to the full-text document is provided whenever possible. For documents not available online, a link to the publisher's website is provided. Tell us how you use the NCJRS Library and Abstracts Database - send us your feedback.