******************************************************************** CALL FOR BOOK CHAPTERS Video Analytics for Business Intelligence To be Published by Springer-Verlag in the series "Studies in Computational 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 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. For example, in retail (or shopping mall) environments, surveillance cameras can also be utilised to collect statistical information about shopping behaviour and preference for marketing (e.g. how many people entering a shop, how many females/males or which age groups of people showing interests to a particular product, what are the frequent paths in a shopping environment), shopping behaviour modelling, and operational efficiency measuring for improving customer experience. In an airport, there is an urgent need for real-time measuring of congestion and queuing length in the departure security checking area and immigration control area, for improving efficiency and customer satisfaction. Despite the enormous potential for non-security oriented commercial applications, video analytics for business intelligence gathering and analysis has just started to receive attentions and remains an under-explored area in the research community. Due to differences in visual surveillance and business intelligence analysis applications, existing algorithms developed for security related applications may not readily apply to business intelligence applications. Innovative adaptation of existing techniques and/or development of novel approaches are required. This edited book seeks to present and highlight the latest developments on video analytics for business intelligence. Topics of interest include, but are not limited to, -Computational vision: Robust background modeling Foreground segmentation Face detection and recognition Human detection Pedestrian tracking -Demographics: People counting Gender & age classification Head pose estimation Eye localization & gaze tracking Dwell time estimation -Analytics: Human behavior analysis Occupancy analysis Queue detection and monitoring Retail loss prevention, anti-shoplifting solutions Activity/event classification -Systems: Distributed and centralized processing User-in-the-loop methods, user feedback mechanisms Smart browsing and content retrieval Multi-modal sensor (booster/RFID tags, POS logs, NIR cameras, etc) fusion Multi camera systems Systems for low-quality (compressed, low-resolution, low-frame-rate) data Alternative setups (fisheye, dome lenses, ceiling, line cameras) Editors ----------------- - Caifeng Shan, Philips Research, The Netherlands - Fatih Porikli, Mitsubishi Electric Research Laboratories, Cambridge, USA - Tao Xiang, Queen Mary, University of London, UK - Shaogang Gong, Queen Mary, University of London, UK Submission Procedure ----------------- - Authors are invited to submit chapter proposals by October 15, 2010. The 1-2 page chapter proposals should contain a title, abstract and a preliminary outline of the chapter. The abstract must clearly explain the aim and scope of the proposed chapter. - Proposals will be evaluated based on the relevance to the book, technical contribution, and balance among the topics covered in the book. Accepted proposals will be notified by October 30, 2010. - Full chapters are expected to be submitted no later than January 30, 2011. All submitted chapters will be reviewed. - The manuscripts must be prepared as instructed in Springer-Verlag's author's guidelines at http://www.springer.com/series/7092. - Submissions and inquiries should be forwarded by email to the editors ( caifeng.shan@philips.com, fatih@merl.com, txiang@dcs.qmul.ac.uk, and sgg@dcs.qmul.ac.uk). Important Dates ----------------- - Deadline for chapter proposals: **October 15, 2010** - Notification of acceptance (of proposals): October 30, 2010 - Deadline for full chapters: January 30, 2011 - Notification of acceptance (of chapters): March 30, 2011 - Deadline for final chapters: April 30, 2011