"Video Analytics for Business Intelligence" ed. by Caifeng Shan, Fatih Porikli, Tao Xiang, and Shaogang Gong

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.

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.

Contents
Preface
Part I: Computational Vision
Object Detection and Tracking
Auto-calibration of Non-overlapping Multi- camera CCTV Systems
Fast Approximate Nearest Neighbor Methods for Example-Based Video Search
Part II: Demographics
Human Age Estimation and Sex Classification
People Counter: Counting of Mostly Static People in Indoor Conditions
Scene Invariant Crowd Counting and Crowd Occupancy Analysis
Identifying Customer Behaviour and Dwell Time Using Soft Biometrics
Part III: Behaviour Analysis
Automatic Activity Profile Generation from Detected Functional Regions for Video Scene Analysis
Analyzing Groups: A Social Signaling Perspective
Part IV: Systems
Video Analytics for Business Intelligence
Design and Validation of a System for People Queue Statistics Estimation
Author Index