| 书目名称 | Video Analytics for Business Intelligence |
| 编辑 | Caifeng Shan,Fatih Porikli,Shaogang Gong |
| 视频video | |
| 概述 | 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.Wr |
| 丛书名称 | Studies in Computational Intelligence |
| 图书封面 |  |
| 描述 | .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 orien |
| 出版日期 | Book 2012 |
| 关键词 | Business Intelligence; Computational Intelligence; Computational Vision; Video Analytics |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-642-28598-1 |
| isbn_softcover | 978-3-662-52028-4 |
| isbn_ebook | 978-3-642-28598-1Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | Springer Berlin Heidelberg 2012 |
发表于 2025-3-21 16:12:17
