A Novel Image-based Model for Data Fusion in Surveillance Systems - Couverture souple

Rababaah, Aaron

 
9783330651531: A Novel Image-based Model for Data Fusion in Surveillance Systems
Couverture souple
ISBN 10 : 3330651539 ISBN 13 : 9783330651531
Editeur : Scholars' Press, 2017

Synopsis

Data collected by multi-modality sensors to detect and characterize behavior of entities and events over a given situation. In order to transform the multi-modality sensors data into useful information leading to actionable information, there is an essential need for a robust data fusion model. A robust fusion model should be able to acquire data from multi-agent sensors and take advantage of spatio-temporal characteristics of multi-modality sensors to create a better situational awareness ability and in particular, assisting with soft fusion of multi-threaded information from variety of sensors under task uncertainties. This book presents a novel Image-based model for multi-modality data fusion. The concept of this fusion model is biologically-inspired by the human brain energy perceptual model. Similar to the human brain having designated regions to map immediate sensory experiences and fusing collective heterogeneous sensory perceptions to create a situational understanding for decision-making, the proposed image-based fusion model follows an analogous data to information fusion scheme for actionable decision-making applied to surveillance intelligent systems.

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Présentation de l'éditeur

Data collected by multi-modality sensors to detect and characterize behavior of entities and events over a given situation. In order to transform the multi-modality sensors data into useful information leading to actionable information, there is an essential need for a robust data fusion model. A robust fusion model should be able to acquire data from multi-agent sensors and take advantage of spatio-temporal characteristics of multi-modality sensors to create a better situational awareness ability and in particular, assisting with soft fusion of multi-threaded information from variety of sensors under task uncertainties. This book presents a novel Image-based model for multi-modality data fusion. The concept of this fusion model is biologically-inspired by the human brain energy perceptual model. Similar to the human brain having designated regions to map immediate sensory experiences and fusing collective heterogeneous sensory perceptions to create a situational understanding for decision-making, the proposed image-based fusion model follows an analogous data to information fusion scheme for actionable decision-making applied to surveillance intelligent systems.

Biographie de l'auteur

Dr Aaron Rasheed Rababaah is an Associate Professor of Computer Science at the American University of Kuwait. He holds BSc in Idustrial Engineering, MSc in Computer Science and PhD in Computer Systems Engineering. He has 8 years teaching experience at 4 universities. His research interests include: intelligent systems, machine vision, and robotics.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Scholars' Press
Date d'édition
2017
Langue
anglais
ISBN 10 
3330651539
ISBN 13 
9783330651531
Reliure
Broché
Nombre de pages
240
Coordonnées du fabricant
non disponible
Personne responsable
non disponible

Autres éditions populaires du même titre

9783659938627: A Novel Image-based Model for Data Fusion in Surveillance Systems

Edition présentée

ISBN 10 :  3659938629 ISBN 13 :  9783659938627
Editeur : LAP LAMBERT Academic Publishing, 2016
Couverture souple