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Real Time Computer Surveillance for Crime Detection

By Davis, Larry S.

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Book Id: WPLBN0000052326
Format Type: PDF eBook
File Size: 1.0 MB
Reproduction Date: 2005
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Title: Real Time Computer Surveillance for Crime Detection  
Author: Davis, Larry S.
Language: English
Subject: Government publications, Legislation., Economic & political studies
Collections: Government Library Collection, Government Printing Office
Publication Date:
Publisher: Government Printing Office


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Davis, L. S. (n.d.). Real Time Computer Surveillance for Crime Detection. Retrieved from

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Excerpt: Chapter 1 - Introduction The Computer Vision Laboratory at the University of Maryland has been designing and developing real time computer vision algorithms for visual surveillance systems. A visual surveillance system must be able to detect and track people under a wide variety of environmental and imaging conditions, and then must analyze their actions and interactions with one another and with objects in their environment to determine when “alerts” should be posted to human security officers. Our research addressed three fundamental problems in the development: Robust algorithms for detection of people in outdoor environments. There are many factors that complicate the problem of detecting people from a stationary camera against “fixed” backgrounds, including changes in illumination conditions (either sudden changes due to cloud cover changes or gradual changes as the sun moves across the sky), background movement due to wind load, for changes in weather such as rainfall or snow. We developed a novel approach to background modeling and model adaptation that deals effectively with these sources of variation and implemented a real time version of the algorithm the at can detect people against complex backgrounds and under changing environmental conditions.

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