BoT-SORT: Robust Associations Multi-Pedestrian Tracking
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Abstract (arXiv)
The goal of multi-object tracking (MOT) is detecting and tracking all the objects in a scene, while keeping a unique identifier for each object. In this paper, we present a new robust state-of-the-art tracker, which can combine the advantages of motion and appearance information, along with camera-motion compensation, and a more accurate Kalman filter state vector. Our new trackers BoT-SORT, and BoT-SORT-ReID rank first in the datasets of MOTChallenge [29, 11] on both MOT17 and MOT20 test sets, in terms of all the main MOT metrics: MOTA, IDF1, and HOTA. For MOT17: 80.5 MOTA, 80.2 IDF1, and 65.0 HOTA are achieved. The source code and the pre-trained models are available at https://github.com/NirAharon/BOT-SORT
Key facts. Cited by 320 papers in the map (data through 14 Oct 2026). Builds on 44 of its 65 references that are in the map. First posted on arXiv 29 Jun 2022.
Builds on
44 of 65 references.
References · 44
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- 2016Simple Online and Realtime Trackingcited by 868
- 2021ByteTrack: Multi-Object Tracking by Associating Every Detection Boxcited by 823
- 2016Performance Measures and a Data Set for Multi-Target, Multi-Camera Trackingcited by 692
- 2019CenterNet: Keypoint Triplets for Object Detectioncited by 654
- 2020HOTA: A Higher Order Metric for Evaluating Multi-Object Trackingcited by 552
- 2016MOT16: A Benchmark for Multi-Object Trackingcited by 532
32 more
- 2020FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Trackingcited by 490
- 2020Tracking Objects as Pointscited by 483
- 2020ResNeSt: Split-Attention Networkscited by 445
- 2019Bag of Tricks and A Strong Baseline for Deep Person Re-identificationcited by 430
- 2019Tracking without bells and whistlescited by 382
- 2021MOTR: End-to-End Multiple-Object Tracking with Transformercited by 381
- 2020TransTrack: Multiple Object Tracking with Transformercited by 371
- 2020MOT20: A benchmark for multi object tracking in crowded scenescited by 357
- 2022Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Trackingcited by 346
- 2019Towards Real-Time Multi-Object Trackingcited by 311
- 2019Omni-Scale Feature Learning for Person Re-Identificationcited by 295
- 2018Learning Discriminative Features with Multiple Granularities for Person Re-Identificationcited by 291
- 2018CrowdHuman: A Benchmark for Detecting Human in a Crowdcited by 284
- 2020Quasi-Dense Similarity Learning for Multiple Object Trackingcited by 220
- 2022StrongSORT: Make DeepSORT Great Againcited by 213
- 2020FastReID: A Pytorch Toolbox for General Instance Re-identificationcited by 166
- 2021Track to Detect and Segment: An Online Multi-Object Trackercited by 156
- 2021Learning to Track with Object Permanencecited by 119
- 2020Chained-Tracker: Chaining Paired Attentive Regression Results for End-to-End Joint Multiple-Object Detection and Trackingcited by 115
- 2020Rethinking the competition between detection and ReID in Multi-Object Trackingcited by 101
- 2021TransMOT: Spatial-Temporal Graph Transformer for Multiple Object Trackingcited by 93
- 2016POI: Multiple Object Tracking with High Performance Detection and Appearance Featurecited by 74
- 2019How To Train Your Deep Multi-Object Trackercited by 71
- 2020TubeTK: Adopting Tubes to Track Multi-Object in a One-Step Training Modelcited by 70
- 2020RetinaTrack: Online Single Stage Joint Detection and Trackingcited by 67
- 2021Multiple Object Tracking with Correlation Learningcited by 67
- 2021RelationTrack: Relation-aware Multiple Object Tracking with Decoupled Representationcited by 52
- 2022GIAOTracker: A comprehensive framework for MCMOT with global information and optimizing strategies in VisDrone 2021cited by 46
- 2020MAT: Motion-Aware Multi-Object Trackingcited by 40
- 2020Detecting Invisible Peoplecited by 31
- 2021One More Check: Making "Fake Background" Be Tracked Againcited by 25
- 2021Semi-TCL: Semi-Supervised Track Contrastive Representation Learningcited by 23
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Citing papers per year: 2022: 6; 2023: 48; 2024: 90; 2025: 97; 2026: 79.
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- 2026MOTIP2: Spatial Priors for End-to-End Multi-Object Tracking7 Oct 2026
- 2026Probabilistic Pedestrian Forecasts from a Handheld Phone: World-Frame Heat Maps, Visual-Inertial Height Drift, and Evaluation without Ground Truth3 Oct 2026
- 2026Referring Multi-Object Tracking in Moving-Camera Videos via Global Motion Compensation3 Oct 2026
- 2026BeeWhere: Segmenting Bumble Bee Colonies to Quantify Behavioral Effects2 Oct 2026
- 2026Beyond the Timeline: Augmenting Long-Video Memory with Grounded Entity Biographies29 Sep 2026
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