The development of visual object tracking has continued for decades. Recent years, as the wide accessibility of the low-cost RGBD sensors, the task of visual object tracking on RGB-D videos has drawn much attention. Compared to conventional RGB-only tracking, the RGB-D videos can provide more information that facilitates objecting tracking in some complicated scenarios. The goal of this review is to summarize the relative knowledge of the research filed of RGB-D tracking. To be specific, we will generalize the related RGB-D tracking benchmarking datasets as well as the corresponding performance measurements. Besides, the existing RGB-D tracking methods are summarized in the paper. Moreover, we discuss the possible future direction in the field of RGB-D tracking.
@article{arxiv.2201.09207,
title = {Visual Object Tracking on Multi-modal RGB-D Videos: A Review},
author = {Xue-Feng Zhu and Tianyang Xu and Xiao-Jun Wu},
journal= {arXiv preprint arXiv:2201.09207},
year = {2024}
}
Comments
I prefer not to present this paper due to its subpar quality