论文标题
多模式RGB-D视频上的视觉对象跟踪：评论
Visual Object Tracking on Multi-modal RGB-D Videos: A Review
论文作者
论文摘要
视觉对象跟踪的开发持续了数十年。近年来，作为低成本RGBD传感器的广泛可访问性，在RGB-D视频上进行视觉对象跟踪的任务引起了很多关注。与传统的仅RGB跟踪相比，RGB-D视频可以提供更多信息，从而有助于在某些复杂的情况下进行反对跟踪。这篇评论的目的是总结RGB-D跟踪提交的研究的相对知识。具体来说，我们将概括相关的RGB-D跟踪基准测定数据集以及相应的性能测量。此外，本文总结了现有的RGB-D跟踪方法。此外，我们讨论了RGB-D跟踪领域可能的未来方向。
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.
