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Titlebook: Distributed Video Sensor Networks; Bir Bhanu,Chinya V. Ravishankar,Demetri Terzopoulo Book 2011 Springer-Verlag London Limited 2011 Camera

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31#
發(fā)表于 2025-3-27 00:33:59 | 只看該作者
Africa: Central Independent States to information obtained and accumulated from the user. Both types of context can include static or dynamic contextual elements. Examples from a smart home environment are presented to illustrate how different types of contextual data can be applied to aid the decision-making process.
32#
發(fā)表于 2025-3-27 03:57:21 | 只看該作者
The Statesman‘s Year-Book 1965-66 which permits the authoring of functional crowds of people going about role-, context-, and schedule-dependent activities. The capabilities and authoring tools for these functional crowd simulations are described with the intention of readily creating ground truth data for distributed sensor system design and evaluation.
33#
發(fā)表于 2025-3-27 07:12:05 | 只看該作者
oad range of disciplines.Provides real-world applications of.Large-scale video networks are of increasing importance in a wide range of applications. However, the development of automated techniques for aggregating and interpreting information from multiple video streams in real-life scenarios is a
34#
發(fā)表于 2025-3-27 09:49:31 | 只看該作者
Other International Organizationsnarios include cognitive vehicles and buildings in which the system understands itself and the activities in and around it by means of distributed video and other sensors. This includes discovery of the cognitive system’s own sensing and actuation capabilities.
35#
發(fā)表于 2025-3-27 13:54:23 | 只看該作者
36#
發(fā)表于 2025-3-27 20:05:24 | 只看該作者
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37#
發(fā)表于 2025-3-28 01:29:13 | 只看該作者
38#
發(fā)表于 2025-3-28 03:13:47 | 只看該作者
978-1-4471-5727-4Springer-Verlag London Limited 2011
39#
發(fā)表于 2025-3-28 07:05:25 | 只看該作者
https://doi.org/10.1057/9780230270411aggregating and interpreting information from multiple video streams in large-scale networks in real-life scenarios is very challenging. Research in video sensor networks is highly interdisciplinary and requires expertise from a variety of fields. The goal of this effort was to organize a two-day na
40#
發(fā)表于 2025-3-28 11:00:16 | 只看該作者
https://doi.org/10.1057/9780230253223n, the use of a camera and a computer to recognize objects, people and/or events automatically, is a relatively young field of research. Its development began in the early 1960s; however, it has matured fairly quickly. Today, it is contributing to the solutions of some of the most serious societal p
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