Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2201.09207 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866909138539249664 |
|---|---|
| author | Zhu, Xue-Feng Xu, Tianyang Wu, Xiao-Jun |
| author_facet | Zhu, Xue-Feng Xu, Tianyang Wu, Xiao-Jun |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2201_09207 |
| institution | arXiv |
| publishDate | 2022 |
| record_format | arxiv |
| spellingShingle | Visual Object Tracking on Multi-modal RGB-D Videos: A Review Zhu, Xue-Feng Xu, Tianyang Wu, Xiao-Jun Computer Vision and Pattern Recognition 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. |
| title | Visual Object Tracking on Multi-modal RGB-D Videos: A Review |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2201.09207 |