Video Object Tracking: Tasks, Datasets, and Methods

This book provides an overview of recent progress in video object tracking, covering problem settings, datasets, and methods, with a focus on deep learning and large-scale human-centric video analysis.

Format: Hardback
Length: 123 pages
Publication date: 05 December 2023
Publisher: Springer International Publishing AG

Video tracking is a crucial area of research in computer vision that focuses on identifying and following specific objects within a video sequence. It has numerous applications in fields such as video conferencing, video editing, surveillance, and autonomous driving. This comprehensive book provides a thorough overview of recent advancements in video object tracking, enabling researchers and industry practitioners to gain a deeper understanding of the most important problems and developed technologies in this field.

The book begins by introducing the task of video object tracking, highlighting the common problem settings and challenges involved. Given the recent revolution in deep learning, there has been a surge of new tasks, datasets, and methods proposed in the domain of video tracking. This book encompasses these recent developments, as well as providing benchmarks for large-scale human-centric video analysis in complex events.

One of the key aspects of video tracking is the use of deep learning algorithms, which have shown remarkable performance in various tasks. The book discusses the use of convolutional neural networks (CNNs) and recurrent neural networks (RNNs) for object detection, tracking, and classification. It also explores the use of transfer learning techniques to improve the performance of video tracking algorithms on new datasets.

Another important aspect of video tracking is the consideration of real-world scenarios and the challenges associated with them. The book discusses the impact of lighting conditions, camera movements, and object appearance variations on the accuracy of video tracking algorithms. It also explores the use of multi-camera systems and augmented reality technologies to enhance the tracking performance in complex environments.

Furthermore, the book discusses the development of robust and efficient video tracking algorithms that can handle large-scale video datasets. It discusses the use of distributed computing frameworks and parallel processing techniques to accelerate the processing of video data and improve the tracking performance.

In addition to the technical aspects, the book also emphasizes the importance of ethical considerations in video tracking. It discusses the privacy and security concerns associated with the use of video data and the need for robust privacy protection mechanisms. It also explores the use of video tracking in surveillance applications and the ethical implications of such use.

Overall, this book provides a comprehensive and up-to-date overview of recent progress in video object tracking. It is an invaluable resource for researchers, practitioners, and students interested in this field. By covering a wide range of topics, from technical aspects to ethical considerations, the book enables readers to gain a deep understanding of the challenges and opportunities in video tracking and to develop innovative solutions for real-world applications.

Weight: 411g
Dimension: 240 x 168 (mm)
ISBN-13: 9783031446597
Edition number: 1st ed. 2024