| 书目名称 | Video Object Tracking | | 副标题 | Tasks, Datasets, and | | 编辑 | Ning Xu,Weiyao Lin,Yunchao Wei | | 视频video | | | 概述 | Aids readers to gain a better understanding of the most important problems and advances via real-world examples.Discusses numerous new tasks, datasets, and methods that have emerged in the past few ye | | 丛书名称 | Synthesis Lectures on Computer Vision | | 图书封面 |  | | 描述 | 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. | | 出版日期 | Book 2024 | | 关键词 | Video Conference; Video Tracking; Pattern Recognition; Video Editing; Machine Learning; Multi-object Trac | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-44660-3 | | isbn_softcover | 978-3-031-44662-7 | | isbn_ebook | 978-3-031-44660-3Series ISSN 2153-1056 Series E-ISSN 2153-1064 | | issn_series | 2153-1056 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 18:15:11
