TY  - BOOK
AU  - Xu,Ning
AU  - Lin,Weiyao
AU  - Lu,Xiankai
AU  - Wei,Yunchao
ED  - SpringerLink (Online service)
TI  - Video Object Tracking: Tasks, Datasets, and Methods 
T2  - Synthesis Lectures on Computer Vision,
SN  - 9783031446603
AV  - TA1634 
PY  - 2024///
CY  - Cham
PB  - Springer Nature Switzerland, Imprint: Springer
KW  - Computer vision
KW  - Image processing
KW  - Digital techniques
KW  - Pattern recognition systems
KW  - Machine learning
KW  - Computer science
KW  - Computer Vision
KW  - Image Processing
KW  - Computer Imaging, Vision, Pattern Recognition and Graphics
KW  - Automated Pattern Recognition
KW  - Machine Learning
KW  - Computer Science
N1  - Chapter 1 Introduction -- Chapter 2 Tracking -- Chapter 3 HiEve Challenge on VOT
N2  - 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.
UR  - https://doi.org/10.1007/978-3-031-44660-3
ER  -