Name: Anomaly Detection in Video Surveillance
ISBN: 978-981-97-3022-3

Overview

Authors:

Xiaochun Wang ⁰

Xiaochun Wang
1. Xi’an Tuowei-High-Tech Corporation, Xi'an, China
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Gives solutions to automatically process data, understand data, and discover anomaly patterns
Presents problems of video-based anomaly detection coding with OpenCV
Provides a comprehensive coverage of the advances in video-based anomaly detection

Part of the book series: Cognitive Intelligence and Robotics (CIR)

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Keywords

Anomaly Detection
Computer Vision
Video Surveillance
Machine Learning
Pattern Recognition

About this book

Anomaly detection in video surveillance stands at the core of numerous real-world applications that have broad impact and generate significant academic and industrial value. The key advantage of writing the book at this point in time is that the vast amount of work done by computer scientists over the last few decades has remained largely untouched by a formal book on the subject, although these techniques significantly advance existing methods of image and video analysis and understanding by taking advantage of anomaly detection in the data mining community and visual analysis in the computer vision community. The proposed book provides a comprehensive coverage of the advances in video based anomaly detection, including topics such as the theories of anomaly detection and machine perception for the functional analysis of abnormal events in general, the identification of abnormal behaviour and crowd abnormal behaviour in particular, the current understanding of computer vision development, and the application of this present understanding towards improving video-based anomaly detection in theory and coding with OpenCV. The book also provides a perspective on deep learning on human action recognition and behaviour analysis, laying the groundwork for future advances in these areas. Overall, the chapters of this book have been carefully organized with extensive bibliographic notes attached to each chapter. One of the goals is to provide the first systematic and comprehensive description of the range of data-driven solutions currently being developed up to date for such purposes. Another is to serve a dual purpose so that students and practitioners can use it as a textbook while researchers can use it as a reference book. A final goal is to provide a comprehensive exposition of the topic of anomaly detection in video media from multiple points of view.

Authors and Affiliations

Xi’an Tuowei-High-Tech Corporation, Xi'an, China

Xiaochun Wang

About the author

Xiaochun Wang received her B.S. degree from Beijing University and her M.S. and Ph.D. from the Department of Electrical Engineering and Computer Science at Vanderbilt University. She is now Senior Scientist in Xi’an Tuowei High-Tech Corporation. Before this, she worked in the School of Software Engineering, Xi’an Jiaotong University in China. Her research interests include data mining (particularly, outlier detection and clustering), machine learning, computer vision, signal processing, and pattern recognition.

Bibliographic Information

Book Title: Anomaly Detection in Video Surveillance
Authors: Xiaochun Wang
Series Title: Cognitive Intelligence and Robotics
Publisher: Springer Singapore
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024
Hardcover ISBN: 978-981-97-3022-3Due: 02 August 2024
Softcover ISBN: 978-981-97-3025-4Due: 02 August 2024
eBook ISBN: 978-981-97-3023-0Due: 02 August 2024
Series ISSN: 2520-1956
Series E-ISSN: 2520-1964
Edition Number: 1
Number of Pages: XX, 540
Number of Illustrations: 30 b/w illustrations, 20 illustrations in colour

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Anomaly Detection in Video Surveillance