Visual Object Tracking using Deep Learning - Rilegato

Kumar, Ashish

Rilegato

ISBN 10: 1032490535 ISBN 13: 9781032490533

Casa editrice: CRC Press, 2023

Riassunto

This book covers the description of both conventional methods and advanced methods. In conventional methods, visual tracking techniques such as stochastic, deterministic, generative, and discriminative are discussed. The conventional techniques are further explored for multi-stage and collaborative frameworks. In advanced methods, various categories of deep learning-based trackers and correlation filter-based trackers are analyzed.

The book also:

• Discusses potential performance metrics used for comparing the efficiency and effectiveness of various visual tracking methods
• Elaborates on the salient features of deep learning trackers along with traditional trackers, wherein the handcrafted features are fused to reduce computational complexity
• Illustrates various categories of correlation filter-based trackers suitable for superior and efficient performance under tedious tracking scenarios
• Explores the future research directions for visual tracking by analyzing the real-time applications

The book comprehensively discusses various deep learning-based tracking architectures along with conventional tracking methods. It covers in-depth analysis of various feature extraction techniques, evaluation metrics and benchmark available for performance evaluation of tracking frameworks. The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology.

Su questo libro

Informazioni sull'autore

Dr. Ashish Kumar, Ph.D., is working as an assistant professor with Bennett University, Greater Noida, U.P., India. He has completed his Ph.D. in Computer Science and Engineering from Delhi Technological University (formerly DCE), New Delhi, India in 2020. He has received best researcher award from the Delhi Technological University for his contribution in the computer vision domain. He has completed M.Tech with distinction in computer Science and Engineering from GGS Inderpratha University, New Delhi. He has published many research papers in various reputed national and international journals and conferences. His current research interests include object tracking, image processing, artificial intelligence, and medical imaging analysis.

Dalla quarta di copertina

The text comprehensively discusses tracking architecture under stochastic and deterministic frameworks and presents experimental results under each framework with qualitative and quantitative analysis. It covers deep learning techniques for feature extraction, template matching, and training the networks in tracking algorithms.

Dettagli dell'edizione

• Editore: CRC Press
• Data di pubblicazione: 2023
• Lingua: Inglese
• ISBN 10: 1032490535
• ISBN 13: 9781032490533
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 202
• Contatto del produttore: Taylor and Francis, GPSR Taylor and Francis; gpsr@taylorandfrancis.com; ; Taylor & Francis Verlag GmbH, Kaufingerstraße 24; München; 80331; Germania