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

Language: English

Published by Scholars' Press Apr 2017, 2017

3330651539 / 9783330651531

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This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 240 pp. Englisch.

Seller Inventory # 9783330651531

Title
A Novel Image-based Model for Data Fusion in Surveillance Systems
Author
Aaron Rababaah
Publisher
Scholars' Press Apr 2017
Publication year
2017
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3330651539
ISBN 13
9783330651531
Item weight
375 grams
Dimensions
220x150x15 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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