Innovations in Defence Support Systems -3: Intelligent Paradigms in Security
Author:   Paolo Remagnino ,  Dorothy N. Monekosso ,  Lakhmi C Jain
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   2011 ed.
Volume:   336
ISBN:  

9783642433597


Pages:   212
Publication Date:   05 October 2014
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Innovations in Defence Support Systems -3: Intelligent Paradigms in Security


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Overview

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.

Full Product Details

Author:   Paolo Remagnino ,  Dorothy N. Monekosso ,  Lakhmi C Jain
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2011 ed.
Volume:   336
Dimensions:   Width: 15.50cm , Height: 1.20cm , Length: 23.50cm
Weight:   0.361kg
ISBN:  

9783642433597


ISBN 10:   3642433596
Pages:   212
Publication Date:   05 October 2014
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Data fusion in modern surveillance.- Distributed Intelligent Surveillance Systems Modeling for Performance Evaluation.- Incremental learning on trajectory clustering.- Highly Accurate Estimation of Pedestrian Speed Profiles from Video Sequences.- System-Wide Tracking of Individuals.- A Scalable Approach based on Normality Components for Intelligent Surveillance distributed Camera Overlap Estimation – Enabling Large Scale Surveillance.-Multi-Robot Teams for Environmental Monitoring.

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