mlsanityData to 14 Oct 2026

Visual Object Tracking on Multi-modal RGB-D Videos: A Review

arXiv 2201.09207 ↗First posted 23 Jan 2022cs.CVcited by 5

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Abstract (arXiv)

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.

Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 12 of its 48 references that are in the map. First posted on arXiv 23 Jan 2022.

Builds on

12 of 48 references.

References · 12

  1. 2019Learning Discriminative Model Prediction for Trackingcited by 344
  2. 2018ATOM: Accurate Tracking by Overlap Maximizationcited by 285
  3. 2016ECO: Efficient Convolution Operators for Trackingcited by 239
  4. 2020Siamese Network for RGB-D Salient Object Detection and Beyondcited by 67
  5. 2021DepthTrack : Unveiling the Power of RGBD Trackingcited by 67
  6. 2020NestFuse: An Infrared and Visible Image Fusion Architecture based on Nest Connection and Spatial/Channel Attention Modelscited by 62
  7. 2018Object Tracking by Reconstruction with View-Specific Discriminative Correlation Filterscited by 33
  8. 2019CDTB: A Color and Depth Visual Object Tracking Dataset and Benchmarkcited by 32
  9. 2019DAL -- A Deep Depth-aware Long-term Trackercited by 26
  10. 2018Multi-focus Image Fusion using dictionary learning and Low-Rank Representationcited by 17
  11. 2019Joint Group Feature Selection and Discriminative Filter Learning for Robust Visual Object Trackingcited by 17
  12. 2018Depth Masked Discriminative Correlation Filtercited by 6

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Cited by year

Citing papers per year: 2022: 1; 2023: 1; 2024: 1; 2025: 2.

5 papers.

  1. 2023LRRNet: A Novel Representation Learning Guided Fusion Network for Infrared and Visible Imagescited by 87
  2. 2024CrossFuse: A Novel Cross Attention Mechanism based Infrared and Visible Image Fusion Approachcited by 38
  3. 2022SkeleVision: Towards Adversarial Resiliency of Person Tracking with Multi-Task Learningcited by 2
  4. 2025GrFormer: A Novel Transformer on Grassmann Manifold for Infrared and Visible Image Fusioncited by 2
  5. 2025RGB-D Tracking via Hierarchical Modality Aggregation and Distribution Networkcited by 1