Visual Event Detection Hardcover - WRAPUP

Visual event detection is a crucial task in computer vision that involves the automatic recognition and localization of specific events or actions in videos or images. This book provides a comprehensive overview of the current state-of-the-art in visual event detection, covering topics such as dataset creation, feature extraction, training and testing of event detectors, and evaluation metrics.

The book starts with an introduction to the basic concepts of visual event detection and provides a detailed explanation of the challenges and potential applications of this technology. It then discusses various approaches to feature extraction, including handcrafted features, deep learning-based features, and hybrid approaches. The training and testing of event detectors are also covered in detail, with a focus on different machine learning algorithms and techniques.

In addition, the book includes a thorough discussion of evaluation metrics for visual event detection, including precision, recall, F1-score, and mAP. Practical examples and case studies are provided throughout the book to help readers understand the concepts and techniques discussed.

Overall, this book is a valuable resource for researchers, practitioners, and students interested in the field of visual event detection. It provides a comprehensive overview of the current research in this area and offers practical guidance on how to design and implement effective event detection systems.