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Video Analytics for Business Intelligence

Closed Circuit TeleVision (CCTV) cameras have been increasingly deployed pervasively in public spaces including retail centres and shopping malls. Intelligent video analytics aims to automatically analyze content of massive amount of public space video data and has been one of the most active areas...

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Detalles Bibliográficos
Autores principales: Shan, Caifeng, Porikli, Fatih, Xiang, Tao, Gong, Shaogang
Lenguaje:eng
Publicado: Springer 2012
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-642-28598-1
http://cds.cern.ch/record/1501810
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author Shan, Caifeng
Porikli, Fatih
Xiang, Tao
Gong, Shaogang
author_facet Shan, Caifeng
Porikli, Fatih
Xiang, Tao
Gong, Shaogang
author_sort Shan, Caifeng
collection CERN
description Closed Circuit TeleVision (CCTV) cameras have been increasingly deployed pervasively in public spaces including retail centres and shopping malls. Intelligent video analytics aims to automatically analyze content of massive amount of public space video data and has been one of the most active areas of computer vision research in the last two decades. Current focus of video analytics research has been largely on detecting alarm events and abnormal behaviours for public safety and security applications. However, increasingly CCTV installations have also been exploited for gathering and analyzing business intelligence information, in order to enhance marketing and operational efficiency. For example, in retail environments, surveillance cameras can be utilised to collect statistical information about shopping behaviour and preference for marketing (e.g., how many people entered a shop; how many females/males or which age groups of people showed interests to a particular product; how long did they stay in the shop; and what are the frequent paths), and to measure operational efficiency for improving customer experience. Video analytics has the enormous potential for non-security oriented commercial applications. This book presents the latest developments on video analytics for business intelligence applications. It provides both academic and commercial practitioners an understanding of the state-of-the-art and a resource for potential applications and successful practice.
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spelling cern-15018102021-04-21T23:55:53Zdoi:10.1007/978-3-642-28598-1http://cds.cern.ch/record/1501810engShan, CaifengPorikli, FatihXiang, TaoGong, ShaogangVideo Analytics for Business IntelligenceEngineeringClosed Circuit TeleVision (CCTV) cameras have been increasingly deployed pervasively in public spaces including retail centres and shopping malls. Intelligent video analytics aims to automatically analyze content of massive amount of public space video data and has been one of the most active areas of computer vision research in the last two decades. Current focus of video analytics research has been largely on detecting alarm events and abnormal behaviours for public safety and security applications. However, increasingly CCTV installations have also been exploited for gathering and analyzing business intelligence information, in order to enhance marketing and operational efficiency. For example, in retail environments, surveillance cameras can be utilised to collect statistical information about shopping behaviour and preference for marketing (e.g., how many people entered a shop; how many females/males or which age groups of people showed interests to a particular product; how long did they stay in the shop; and what are the frequent paths), and to measure operational efficiency for improving customer experience. Video analytics has the enormous potential for non-security oriented commercial applications. This book presents the latest developments on video analytics for business intelligence applications. It provides both academic and commercial practitioners an understanding of the state-of-the-art and a resource for potential applications and successful practice.Springeroai:cds.cern.ch:15018102012
spellingShingle Engineering
Shan, Caifeng
Porikli, Fatih
Xiang, Tao
Gong, Shaogang
Video Analytics for Business Intelligence
title Video Analytics for Business Intelligence
title_full Video Analytics for Business Intelligence
title_fullStr Video Analytics for Business Intelligence
title_full_unstemmed Video Analytics for Business Intelligence
title_short Video Analytics for Business Intelligence
title_sort video analytics for business intelligence
topic Engineering
url https://dx.doi.org/10.1007/978-3-642-28598-1
http://cds.cern.ch/record/1501810
work_keys_str_mv AT shancaifeng videoanalyticsforbusinessintelligence
AT poriklifatih videoanalyticsforbusinessintelligence
AT xiangtao videoanalyticsforbusinessintelligence
AT gongshaogang videoanalyticsforbusinessintelligence