Video Analytics for Business Intelligence
Editors: Shan, C., Porikli, F., Xiang, T., Gong, S. (Eds.)
Free Preview- State of the art of Video Analytics for Business Intelligence
- Demonstrates how surveillance cameras can be used for collecting statistical information for marketing e.g. in retail/shop environments
- Written by leading experts in the field
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- About this book
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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.
- Reviews
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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)
- Table of contents (11 chapters)
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Object Detection and Tracking
Pages 3-41
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Auto-calibration of Non-overlapping Multi-camera CCTV Systems
Pages 43-67
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Fast Approximate Nearest Neighbor Methods for Example-Based Video Search
Pages 69-97
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Human Age Estimation and Sex Classification
Pages 101-131
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People Counter: Counting of Mostly Static People in Indoor Conditions
Pages 133-159
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Table of contents (11 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Video Analytics for Business Intelligence
- Editors
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- Caifeng Shan
- Fatih Porikli
- Tao Xiang
- Shaogang Gong
- Series Title
- Studies in Computational Intelligence
- Series Volume
- 409
- Copyright
- 2012
- Publisher
- Springer-Verlag Berlin Heidelberg
- Copyright Holder
- Springer Berlin Heidelberg
- eBook ISBN
- 978-3-642-28598-1
- DOI
- 10.1007/978-3-642-28598-1
- Hardcover ISBN
- 978-3-642-28597-4
- Softcover ISBN
- 978-3-662-52028-4
- Series ISSN
- 1860-949X
- Edition Number
- 1
- Number of Pages
- XII, 375
- Topics
