Video Object Tracking

Tasks, Datasets, and Methods

Ning Xu, Weiyao Lin, Xiankai Lu, Yunchao Wei (Autoren)

Buch | Hardcover

VIII, 123 Seiten

2023
Springer International Publishing (Verlag)
978-3-031-44659-7 (ISBN)

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This book provides a thorough overview of recent progress in video object tracking, allowing researchers and industrial practitioners to gain a better understanding of the most important problems and developed technologies in the area. Video tracking is a key research area in computer vision and aims to track unique objects in a given video, which are useful for various applications such as video conference, video editing, surveillance, and autonomous driving. This book begins with an introduction to the task of video object tracking, including the most common problem settings. Given the revolution of deep learning in computer vision problems, numerous new tasks, datasets, and methods have been recently proposed in the domain of video tracking. The book includes these recent results as well as benchmarks in large-scale human-centric video analysis in complex events.

Ning Xu, Ph.D., is a Research Scientist at Adobe Research. He received his Ph.D. in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign. He was an organizer of the first and second LSVOS Challenge in ECCV 2018 and ICCV 2019. He is also an organizer for the ACM MM 2020 grand challenge "Large-scale Human-centric Video Analysis in Complex Events" and ACCV 2020 tutorial "Spatial -Temporal Parsing of Objects: From Segmentation to Actions". His research interests include image and video segmentation.
Weiyao Lin, Ph.D. is a Professor at Shanghai Jiao Tong University. He received his B.S. and M.E. from Shanghai Jiao Tong University and Ph.D. degree from the University of Washington, all in electrical engineering.
Xiankai Lu, Ph.D., is a Research Professor at Shandong University. Prior to this role, he was a research associate with Inception Institute of Artificial Intelligence at Abu Dhabi, UAE. Dr. Lu received a B. E. from the Department of Automation at Shan Dong University.
Yunchao Wei, Ph.D, is a Professor in the Center of Digital Media Information Processing at Beijing Jiaotong University. He received his Ph.D. from Beijing Jiaotong University. His current research interests include visual recognition with imperfect data, image/video segmentation and object detection, and multi-modal perception.

Chapter 1 Introduction.- Chapter 2 Tracking.- Chapter 3 HiEve Challenge on VOT.

Erscheinungsdatum	12.12.2023
Reihe/Serie	Synthesis Lectures on Computer Vision
Zusatzinfo	VIII, 123 p. 50 illus., 49 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	168 x 240 mm
Gewicht	411 g
Themenwelt	Mathematik / Informatik ► Informatik
Schlagworte	computer vision • machine learning • Multi-object Tracking (MOT) • pattern recognition • VIDEO CONFERENCE • Video editing • video tracking
ISBN-10	3-031-44659-3 / 3031446593
ISBN-13	978-3-031-44659-7 / 9783031446597
Zustand	Neuware