mlsanityData to 7 Oct 2026

GIAOTracker: A comprehensive framework for MCMOT with global information and optimizing strategies in VisDrone 2021

arXiv 2202.11983 ↗First posted 24 Feb 2022cs.CVcited by 46

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Abstract (arXiv)

In recent years, algorithms for multiple object tracking tasks have benefited from great progresses in deep models and video quality. However, in challenging scenarios like drone videos, they still suffer from problems, such as small objects, camera movements and view changes. In this paper, we propose a new multiple object tracker, which employs Global Information And some Optimizing strategies, named GIAOTracker. It consists of three stages, i.e., online tracking, global link and post-processing. Given detections in every frame, the first stage generates reliable tracklets using information of camera motion, object motion and object appearance. Then they are associated into trajectories by exploiting global clues and refined through four post-processing methods. With the effectiveness of the three stages, GIAOTracker achieves state-of-the-art performance on the VisDrone MOT dataset and wins the 3rd place in the VisDrone2021 MOT Challenge.

Key facts. Cited by 46 papers in the map (data through 7 Oct 2026). Builds on 45 of its 80 references that are in the map. First posted on arXiv 24 Feb 2022.

Builds on

45 of 80 references.

References · 45

  1. 2017Attention Is All You Needcited by 59,932
  2. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  3. 2014Microsoft COCO: Common Objects in Contextcited by 17,498
  4. 2015Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networkscited by 9,617
  5. 2015You Only Look Once: Unified, Real-Time Object Detectioncited by 4,829
  6. 2015Fast R-CNNcited by 2,930
  7. 2018YOLOv3: An Incremental Improvementcited by 2,652
  8. 2013Rich feature hierarchies for accurate object detection and semantic segmentationcited by 2,160
  9. 2020YOLOv4: Optimal Speed and Accuracy of Object Detectioncited by 1,624
  10. 2016YOLO9000: Better, Faster, Strongercited by 1,429
  11. 2017Cascade R-CNN: Delving into High Quality Object Detectioncited by 1,275
  12. 2019Objects as Pointscited by 1,172
33 more
  1. 2017Simple Online and Realtime Tracking with a Deep Association Metriccited by 908
  2. 2016Simple Online and Realtime Trackingcited by 862
  3. 2017In Defense of the Triplet Loss for Person Re-Identificationcited by 784
  4. 2020FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Trackingcited by 489
  5. 2020Tracking Objects as Pointscited by 483
  6. 2017Beyond Part Models: Person Retrieval with Refined Part Pooling (and a Strong Convolutional Baseline)cited by 472
  7. 2019Tracking without bells and whistlescited by 382
  8. 2017Soft-NMS -- Improving Object Detection With One Line of Codecited by 380
  9. 2019Towards Real-Time Multi-Object Trackingcited by 311
  10. 2019Omni-Scale Feature Learning for Person Re-Identificationcited by 292
  11. 2019MOTS: Multi-Object Tracking and Segmentationcited by 222
  12. 2020DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolutioncited by 222
  13. 2020Quasi-Dense Similarity Learning for Multiple Object Trackingcited by 220
  14. 2020Scaled-YOLOv4: Scaling Cross Stage Partial Networkcited by 211
  15. 2019Learning a Neural Solver for Multiple Object Trackingcited by 198
  16. 2017Detect to Track and Track to Detectcited by 131
  17. 2020Chained-Tracker: Chaining Paired Attentive Regression Results for End-to-End Joint Multiple-Object Detection and Trackingcited by 115
  18. 2018Vision Meets Drones: A Challengecited by 80
  19. 2019How To Train Your Deep Multi-Object Trackercited by 71
  20. 2020TubeTK: Adopting Tubes to Track Multi-Object in a One-Step Training Modelcited by 70
  21. 2019FAMNet: Joint Learning of Feature, Affinity and Multi-dimensional Assignment for Online Multiple Object Trackingcited by 65
  22. 2016Online Multi-Target Tracking Using Recurrent Neural Networkscited by 59
  23. 2020Lifted Disjoint Paths with Application in Multiple Object Trackingcited by 55
  24. 2017Recurrent Autoregressive Networks for Online Multi-Object Trackingcited by 48
  25. 2020MAT: Motion-Aware Multi-Object Trackingcited by 40
  26. 2018Exploit the Connectivity: Multi-Object Tracking with TrackletNetcited by 30
  27. 2018Revisiting Temporal Modeling for Video-based Person ReIDcited by 26
  28. 2020Simultaneous Detection and Tracking with Motion Modelling for Multiple Object Trackingcited by 25
  29. 2021Semi-TCL: Semi-Supervised Track Contrastive Representation Learningcited by 23
  30. 2020Multiple Object Tracking by Flowing and Fusingcited by 17
  31. 2021Split and Connect: A Universal Tracklet Booster for Multi-Object Trackingcited by 17
  32. 2016Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networkscited by 13
  33. 2021Multiple Object Tracking with Mixture Density Networks for Trajectory Estimationcited by 8

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 6; 2023: 9; 2024: 16; 2025: 9; 2026: 6.

46 papers.

Sort:

  1. 2022BoT-SORT: Robust Associations Multi-Pedestrian Trackingcited by 313
  2. 2022StrongSORT: Make DeepSORT Great Againcited by 213
  3. 2024SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memorycited by 91
  4. 2023MotionTrack: Learning Robust Short-term and Long-term Motions for Multi-Object Trackingcited by 64
  5. 2023UCMCTrack: Multi-Object Tracking with Uniform Camera Motion Compensationcited by 42
  6. 2023CholecTrack20: A Multi-Perspective Tracking Dataset for Surgical Toolscited by 17
  7. 2024The 8th AI City Challengecited by 15
  8. 20221st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Resultscited by 14
  9. 2023Video-based Sequential Bayesian Homography Estimation for Soccer Field Registrationcited by 8
  10. 2024FeatureSORT: Essential Features for Effective Trackingcited by 8
  11. 2023AgriSORT: A Simple Online Real-time Tracking-by-Detection framework for robotics in precision agriculturecited by 7
  12. 2023The 2nd Workshop on Maritime Computer Vision (MaCVi) 2024cited by 7
34 more
  1. 2024TrackSSM: A General Motion Predictor by State-Space Modelcited by 6
  2. 2025No Train Yet Gain: Towards Generic Multi-Object Tracking in Sports and Beyondcited by 6
  3. 2025MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Costcited by 5
  4. 2024UncertaintyTrack: Exploiting Detection and Localization Uncertainty in Multi-Object Trackingcited by 4
  5. 2025Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Artcited by 4
  6. 2025FastTracker: Real-Time and Accurate Visual Trackingcited by 4
  7. 2024Enhancing Multiple Object Tracking Accuracy via Quantum Annealingcited by 3
  8. 2024SurgiTrack: Fine-Grained Multi-Class Multi-Tool Tracking in Surgical Videoscited by 3
  9. 2022PAMI-AD: An Activity Detector Exploiting Part-attention and Motion Information in Surveillance Videoscited by 2
  10. 2023CityTrack: Improving City-Scale Multi-Camera Multi-Target Tracking by Location-Aware Tracking and Box-Grained Matchingcited by 2
  11. 2024SFSORT: Scene Features-based Simple Online Real-Time Trackercited by 2
  12. 2024Multiple Object Detection and Tracking in Panoramic Videos for Cycling Safety Analysiscited by 2
  13. 2024Enhancing In-vehicle Multiple Object Tracking Systems with Embeddable Ising Machinescited by 2
  14. 2024SFTrack: A Robust Scale and Motion Adaptive Algorithm for Tracking Small and Fast Moving Objectscited by 2
  15. 2025SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sportscited by 2
  16. 2025Physical ID-Transfer Attacks against Multi-Object Tracking via Adversarial Trajectorycited by 2
  17. 2022EnsembleMOT: A Step towards Ensemble Learning of Multiple Object Trackingcited by 1
  18. 2024One Homography is All You Need: IMM-based Joint Homography and Multiple Object State Estimationcited by 1
  19. 2024Temporally Propagated Masks and Bounding Boxes: Combining the Best of Both Worlds for Multi-Object Trackingcited by 1
  20. 2025EPIPTrack: Rethinking Prompt Modeling with Explicit and Implicit Prompts for Multi-Object Trackingcited by 1
  21. 2026Occlusion-Aware SORT: Observing Occlusion for Robust Multi-Object Trackingcited by 1
  22. 2026SCT-MOT: Enhancing Air-to-Air Multiple UAVs Tracking with Swarm-Coupled Motion and Trajectory Guidancecited by 1
  23. 2022PieTrack: An MOT solution based on synthetic data training and self-supervised domain adaptationcited by 0
  24. 2023TopTrack: Tracking Objects By Their Topcited by 0
  25. 2023Seed Kernel Counting using Domain Randomization and Object Tracking Neural Networkscited by 0
  26. 2024MapTrack: Tracking in the Mapcited by 0
  27. 2024A Multilevel Strategy to Improve People Tracking in a Real-World Scenariocited by 0
  28. 2024Hierarchical IoU Tracking based on Intervalcited by 0
  29. 2025FaceQSORT: a Multi-Face Tracking Method based on Biometric and Appearance Featurescited by 0
  30. 2025Motion Estimation for Multi-Object Tracking using KalmanNet with Semantic-Independent Encodingcited by 0
  31. 2026Video-based Locomotion Analysis for Fish Health Monitoringcited by 0
  32. 2026Banshee: Target Switch Attacks on Gimbal-Stabilized Visual Tracking Systems via Acoustic Injectioncited by 0
  33. 2026VLA-ReID: Video-Level Association for Re-Identification in Multi-Object Tracking with Highly Similar Objectscited by 0
  34. 2026Beyond the Survey: A Systematic Empirical Study of Detection and Association in Visual MOTcited by 0