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Technical Inside the SQL Server Query Optimizer
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pluralsight-training.net SQL Server: Collecting and Analyzing Trace Data [2012, ENG]
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PLURALSIGHT.NET WINDOWS 8 METRO APPLICATION DATA-JGTiSO
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PLURALSIGHT.NET BUILDING WINDOWS 8 METRO APPS WITH C SHARP AND XAML-JGTiSO
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Technical Automated Multi-Camera Surveillance: Algorithms and Practice (The International Series in Video Computing)
Posted on 2010-04-28
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Author: Omar Javed, Mubarak Shah
Publisher: Springer (2008) Binding: Hardcover, 110 pages pricer: $119.00 ISBN-10: 0387788808 editorialreviews The deployment of surveillance systems has captured the interest of both the research and the industrial worlds in recent years. The aim of this effort is to increase security and safety in several application domains such as national security, home and bank safety, traffic monitoring and navigation, tourism, and military applications. The video surveillance systems currently in use share one feature: A human operator must monitor them at all times, thus limiting the number of cameras and the area under surveillance and increasing cost. A more advantageous system would have continuous active warning capabilities, able to alert security officials during or even before the happening of a crime. Existing automated surveillance systems can be classified into categories according to:
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