Innovations in Defence Support Systems - 3 [electronic resource]: Intelligent Paradigms in Security / edited by Paolo Remagnino, Dorothy N. Monekosso, Lakhmi C. Jain.

Colaborador(es): Remagnino, Paolo | [editor.] | Monekosso, Dorothy N | [editor.] | Jain, Lakhmi C | [editor.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Studies in Computational Intelligence; -336Descripción: XVIII, 214p. 74 illus., 63 illus. in color. online resourceISBN: 9783642182785 99783642182785Tema(s): Engineering | Artificial intelligence | Engineering | Artificial Intelligence (incl. Robotics) | COMPUTATIONAL INTELIGENCEClasificación CDD: 006.3 Recursos en línea: ir a documento
Contenidos:
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.
Resumen: 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.
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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.

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.

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