Tasks, Datasets, and Methods Xu, Ning. creator author. aut http://id.loc.gov/vocabulary/relators/aut Lin, Weiyao. author. aut http://id.loc.gov/vocabulary/relators/aut Lu, Xiankai. author. aut http://id.loc.gov/vocabulary/relators/aut Wei, Yunchao. author. aut http://id.loc.gov/vocabulary/relators/aut SpringerLink (Online service) text sz 2024 1st ed. 2024. monographic eng

electronic

electronic resource

access VIII, 123 p. 50 illus., 49 illus. in color. online resource. 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. . Chapter 1 Introduction -- Chapter 2 Tracking -- Chapter 3 HiEve Challenge on VOT. by Ning Xu, Weiyao Lin, Xiankai Lu, Yunchao Wei. Computer vision Image processing Image processing Digital techniques Pattern recognition systems Machine learning Computer science Computer Vision Image Processing Computer Imaging, Vision, Pattern Recognition and Graphics Automated Pattern Recognition Machine Learning Computer Science TA1634 9783031446603 https://doi.org/10.1007/978-3-031-44660-3 https://doi.org/10.1007/978-3-031-44660-3 231204 20251030110848.0 978-3-031-44660-3