Fr. 189.00

Video Analytics for Business Intelligence

Inglese · Tascabile

Spedizione di solito entro 6 a 7 settimane

Descrizione

Ulteriori informazioni

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.

Sommario

Computational Vision.- Demographics.- Behaviour Analysis.- Systems.

Riassunto

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.

Testo aggiuntivo

From the reviews:
“This book looks at video analytics techniques and provides a connection between these techniques and business intelligence applications. … it is very well organized in terms of topics and the sequence of chapters; and it covers a very new, multidisciplinary, and active area of research, providing details that will benefit interested readers. … Overall, this is an excellent reference for researchers and professionals interested in working in this overlapping area of video analytics and business intelligence.” (Aladdin Ayesh, ACM Computing Reviews, November, 2012)

Relazione

From the reviews:
"This book looks at video analytics techniques and provides a connection between these techniques and business intelligence applications. ... it is very well organized in terms of topics and the sequence of chapters; and it covers a very new, multidisciplinary, and active area of research, providing details that will benefit interested readers. ... Overall, this is an excellent reference for researchers and professionals interested in working in this overlapping area of video analytics and business intelligence." (Aladdin Ayesh, ACM Computing Reviews, November, 2012)

Dettagli sul prodotto

Con la collaborazione di Shaogang Gong (Editore), Fati Porikli (Editore), Fatih Porikli (Editore), Caifeng Shan (Editore), Tao Xiang (Editore), Tao Xiang et al (Editore)
Editore Springer, Berlin
 
Lingue Inglese
Formato Tascabile
Pubblicazione 01.01.2016
 
EAN 9783662520284
ISBN 978-3-662-52028-4
Pagine 375
Dimensioni 155 mm x 21 mm x 235 mm
Peso 593 g
Illustrazioni XII, 375 p.
Serie Studies in Computational Intelligence
Studies in Computational Intelligence
Categorie Scienze naturali, medicina, informatica, tecnica > Tecnica > Tematiche generali, enciclopedie

B, Artificial Intelligence, engineering, Computer Vision, IT in Business, Image Processing and Computer Vision, Computational Intelligence, Business applications, Business mathematics and systems, Business information services

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