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派博传思国际中心 »期刊书目

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Titlebook: Innovations in Defence Support Systems -3; Intelligent Paradigm Paolo Remagnino,Dorothy N. Monekosso,Lakhmi C. Jai Book 2011 Springer Berli

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发表于 2025-3-21 17:13:01 | 显示全部楼层 |阅读模式
书目名称Innovations in Defence Support Systems -3
副标题Intelligent Paradigm
编辑Paolo Remagnino,Dorothy N. Monekosso,Lakhmi C. Jai
视频videohttp://file.papertrans.cn/468/467077/467077.mp4
概述State-of-art research on defence support systems.Focuses on intelligent paradigms in security.Written by leading experts in the field
丛书名称Studies in Computational Intelligence
图书封面Titlebook: Innovations in Defence Support Systems -3; Intelligent Paradigm Paolo Remagnino,Dorothy N. Monekosso,Lakhmi C. Jai Book 2011 Springer Berli
描述.This book is a continuation of our previous volumes on Innovations in Defence Support Systems. This book includes a sample of recent advances in intelligent monitoring. The contributions include:. . .·         Data fusion in modern surveillance.·         Distributed intelligent surveillance systems modeling for performance evaluation.·         Incremental learning on trajectory clustering.·         Pedestrian speed profiles from video sequence.·         System-wide tracking of individuals.·         A scalable approach based on normality components for intelligent surveillance.·         Distributed camera overlap estimation.·         Multi-robot team for environmental monitoring. .The book is directed to the security experts, engineers, scientists, students and professors who are interested in intelligent monitoring..
出版日期Book 2011
关键词Computational Intelligence; Defence Support Systems; Intelligent Paradigms in Security
版次1
doihttps://doi.org/10.1007/978-3-642-18278-5
isbn_softcover978-3-642-43359-7
isbn_ebook978-3-642-18278-5Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer Berlin Heidelberg 2011
The information of publication is updating

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https://doi.org/10.1007/978-3-642-18278-5Computational Intelligence; Defence Support Systems; Intelligent Paradigms in Security
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Studies in Computational Intelligencehttp://image.papertrans.cn/i/image/467077.jpg
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Data Fusion in Modern Surveillance,f the information involved. The rationale behind this theory is the capability of one source to compensate the error of another, offering advantages such as increased accuracy and failure resilience. While in the past ambient security systems were focused on the extensive usage of arrays of single-t
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Distributed Intelligent Surveillance Systems Modeling for Performance Evaluation,nd more complex surveillance systems with hundreds of sensors deployed in large areas. New functionalities are now available such as scene understanding, context-dependent processing and real-time user-driven functionality selection. The efficient use of these tools in architecturally complex system
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Incremental Learning on Trajectory Clustering,ough a network of cameras. The whole challenge consists in managing this huge amount of information and in structuring all the knowledge. On-line Clustering is an efficient manner to process such huge amounts of data. On-line processing is indeed an important capability required to perform monitorin
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Highly Accurate Estimation of Pedestrian Speed Profiles from Video Sequences,with people captured from aside view/camera. Such accurate estimations are needed to tune speed models for pedestrian simulation software. The system uses a combination of image segmentation and motion tracking to localize foot locations of pedestrians and convert them to ground plane speeds using c
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