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Video surveillance for sensor platforms: algorithms and architectures

This book introduces resource aware image decomposition, registration, fusion, object detection and tracking algorithms along with their applications in security, monitoring and integration in 3rd Generation Surveillance Systems.  All algorithms are evaluated through experimental and simulation resu...

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Detalles Bibliográficos
Autores principales: Al Najjar, Mayssaa, Ghantous, Milad, Bayoumi, Magdy
Lenguaje:eng
Publicado: Springer 2014
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-1-4614-1857-3
http://cds.cern.ch/record/1627004
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author Al Najjar, Mayssaa
Ghantous, Milad
Bayoumi, Magdy
author_facet Al Najjar, Mayssaa
Ghantous, Milad
Bayoumi, Magdy
author_sort Al Najjar, Mayssaa
collection CERN
description This book introduces resource aware image decomposition, registration, fusion, object detection and tracking algorithms along with their applications in security, monitoring and integration in 3rd Generation Surveillance Systems.  All algorithms are evaluated through experimental and simulation results and a parallel and pipelined efficient architecture for implementing the algorithms is described. • Describes a new type of image processing algorithms that are suited for low power and low memory platforms such as wireless sensor networks or mobile devices; • Uses simulation and experimental results to evaluate algorithms presented; • Includes hardware architecture for critical components in the algorithms described.
id cern-1627004
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2014
publisher Springer
record_format invenio
spelling cern-16270042021-04-21T21:38:51Zdoi:10.1007/978-1-4614-1857-3http://cds.cern.ch/record/1627004engAl Najjar, MayssaaGhantous, MiladBayoumi, MagdyVideo surveillance for sensor platforms: algorithms and architecturesEngineeringThis book introduces resource aware image decomposition, registration, fusion, object detection and tracking algorithms along with their applications in security, monitoring and integration in 3rd Generation Surveillance Systems.  All algorithms are evaluated through experimental and simulation results and a parallel and pipelined efficient architecture for implementing the algorithms is described. • Describes a new type of image processing algorithms that are suited for low power and low memory platforms such as wireless sensor networks or mobile devices; • Uses simulation and experimental results to evaluate algorithms presented; • Includes hardware architecture for critical components in the algorithms described.Springeroai:cds.cern.ch:16270042014
spellingShingle Engineering
Al Najjar, Mayssaa
Ghantous, Milad
Bayoumi, Magdy
Video surveillance for sensor platforms: algorithms and architectures
title Video surveillance for sensor platforms: algorithms and architectures
title_full Video surveillance for sensor platforms: algorithms and architectures
title_fullStr Video surveillance for sensor platforms: algorithms and architectures
title_full_unstemmed Video surveillance for sensor platforms: algorithms and architectures
title_short Video surveillance for sensor platforms: algorithms and architectures
title_sort video surveillance for sensor platforms: algorithms and architectures
topic Engineering
url https://dx.doi.org/10.1007/978-1-4614-1857-3
http://cds.cern.ch/record/1627004
work_keys_str_mv AT alnajjarmayssaa videosurveillanceforsensorplatformsalgorithmsandarchitectures
AT ghantousmilad videosurveillanceforsensorplatformsalgorithmsandarchitectures
AT bayoumimagdy videosurveillanceforsensorplatformsalgorithmsandarchitectures