VISUAL OBJECT TRACKING USING DEEP LEARNING (PB 2023)

KUMAR ASHISH

ISBN 10: 1032598077 / ISBN 13: 9781032598079

Editore: TAYLOR & FRANCIS NP, 2023

Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability. Codice articolo CBS 9781032598079

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.

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.

Dati bibliografici

Titolo: VISUAL OBJECT TRACKING USING DEEP LEARNING (...
Casa editrice: TAYLOR & FRANCIS NP
Data di pubblicazione: 2023
Legatura: Brossura
Condizione: New Books
Edizione: Edizione Internazionale