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Robust Visual Tracking by Motion Analyzing

arXiv 2309.03247 ↗First posted 6 Sep 2023cs.CVcited by 0

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Abstract (arXiv)

In recent years, Video Object Segmentation (VOS) has emerged as a complementary method to Video Object Tracking (VOT). VOS focuses on classifying all the pixels around the target, allowing for precise shape labeling, while VOT primarily focuses on the approximate region where the target might be. However, traditional segmentation modules usually classify pixels frame by frame, disregarding information between adjacent frames. In this paper, we propose a new algorithm that addresses this limitation by analyzing the motion pattern using the inherent tensor structure. The tensor structure, obtained through Tucker2 tensor decomposition, proves to be effective in describing the target's motion. By incorporating this information, we achieved competitive results on Four benchmarks LaSOTcitefan2019lasot, AVisTcitenoman2022avist, OTB100cite7001050, and GOT-10kcitehuang2019got LaSOTcitefan2019lasot with SOTA. Furthermore, the proposed tracker is capable of real-time operation, adding value to its practical application.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 46 of its 73 references that are in the map. First posted on arXiv 6 Sep 2023.

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46 of 73 references.

References · 46

  1. 2017The 2017 DAVIS Challenge on Video Object Segmentationcited by 942
  2. 2016Fully-Convolutional Siamese Networks for Object Trackingcited by 566
  3. 2018GOT-10k: A Large High-Diversity Benchmark for Generic Object Tracking in the Wildcited by 471
  4. 2018SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networkscited by 445
  5. 2018LaSOT: A High-quality Benchmark for Large-scale Single Object Trackingcited by 424
  6. 2021Transformer Trackingcited by 412
  7. 2018YouTube-VOS: A Large-Scale Video Object Segmentation Benchmarkcited by 381
  8. 2021Learning Spatio-Temporal Transformer for Visual Trackingcited by 348
  9. 2019Learning Discriminative Model Prediction for Trackingcited by 344
  10. 2022Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Frameworkcited by 328
  11. 2018ATOM: Accurate Tracking by Overlap Maximizationcited by 285
  12. 2022MixFormer: End-to-End Tracking with Iterative Mixed Attentioncited by 278
34 more
  1. 2018Fast Online Object Tracking and Segmentation: A Unifying Approachcited by 272
  2. 2016ECO: Efficient Convolution Operators for Trackingcited by 239
  3. 2020Probabilistic Regression for Visual Trackingcited by 231
  4. 2021Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Trackingcited by 220
  5. 2018Distractor-aware Siamese Networks for Visual Object Trackingcited by 187
  6. 2019Deeper and Wider Siamese Networks for Real-Time Visual Trackingcited by 156
  7. 2021Learning Target Candidate Association to Keep Track of What Not to Trackcited by 131
  8. 2022Transforming Model Prediction for Trackingcited by 117
  9. 2021STMTrack: Template-free Visual Tracking with Space-time Memory Networkscited by 91
  10. 2020Learning What to Learn for Video Object Segmentationcited by 89
  11. 2019Learning the Model Update for Siamese Trackerscited by 75
  12. 2019D3S -- A Discriminative Single Shot Segmentation Trackercited by 69
  13. 2018Learning Spatial-Temporal Regularized Correlation Filters for Visual Trackingcited by 63
  14. 2015Staple: Complementary Learners for Real-Time Trackingcited by 60
  15. 2021Efficient Visual Tracking with Exemplar Transformerscited by 48
  16. 2022Robust Visual Tracking by Segmentationcited by 38
  17. 2017MR image reconstruction using deep density priorscited by 37
  18. 2023Target-Aware Tracking with Long-term Context Attentioncited by 27
  19. 2022AVisT: A Benchmark for Visual Object Tracking in Adverse Visibilitycited by 22
  20. 2023DropMAE: Learning Representations via Masked Autoencoders with Spatial-Attention Dropout for Temporal Matching Taskscited by 22
  21. 2023Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Trackingcited by 20
  22. 2021TrTr: Visual Tracking with Transformercited by 14
  23. 2019Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Priorcited by 12
  24. 2021Generating Masks from Boxes by Mining Spatio-Temporal Consistencies in Videoscited by 8
  25. 2017Encoder-Decoder Shift-Reduce Syntactic Parsingcited by 7
  26. 2022A Unified Encoder-Decoder Framework with Entity Memorycited by 7
  27. 2018Fast Randomized PCA for Sparse Datacited by 5
  28. 2018Semantic Binary Segmentation using Convolutional Networks without Decoderscited by 3
  29. 2022NeighborTrack: Improving Single Object Tracking by Bipartite Matching with Neighbor Trackletscited by 3
  30. 2022On the Importance of Image Encoding in Automated Chest X-Ray Report Generationcited by 3
  31. 20183D Global Convolutional Adversarial Network for Prostate MR Volume Segmentationcited by 2
  32. 2017The Exact Solution to Rank-1 L1-norm TUCKER2 Decompositioncited by 1
  33. 2018A sequential guiding network with attention for image captioningcited by 1
  34. 2020AAA: Adaptive Aggregation of Arbitrary Online Trackers with Theoretical Performance Guaranteecited by 1

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