Название: Visual Object Tracking: An Evaluation Perspective
Автор: Xin Zhao, Shiyu Hu, Xu-Cheng Yin
Издательство: Springer
Серия: Advances in Computer Vision and Pattern Recognition
Год: 2025
Страниц: 202
Язык: английский
Формат: pdf (true)
Размер: 21.1 MB
This book delves into visual object tracking (VOT), a fundamental aspect of computer vision crucial for replicating human dynamic vision, with applications ranging from self-driving vehicles to surveillance systems. Despite significant strides propelled by Deep Learning, challenges such as target deformation and motion persist, exposing a disparity between cutting-edge VOT systems and human performance. This observation underscores the necessity to thoroughly scrutinize and enhance evaluation methodologies within VOT research. Hence, the primary objective of this book is to equip readers with essential insights into dynamic visual tasks encapsulated by VOT. Beginning with the elucidation of task definitions, it integrates interdisciplinary perspectives on evaluation techniques. Pursuing dynamic visual intelligence represents one of the most significant challenges in Artificial Intelligence (AI), requiring the synthesis of perceptual acuity, cognitive reasoning, and real-time adaptability. This book addresses these challenges, positioning itself at the intersection of cognitive science, Computer Vision, and Machine Learning.