Multiple Object Tracking

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

11 leaderboard tables shown for this task, 11 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted. 10 shown of 11 until expanded.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

18 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

2 subtasks in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 149 papers with code (318 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Simple Online and Realtime Tracking with a Deep Association Metric
  21 Mar 2017 75 repositories listed Syntology ran 12 of 40 samples · 28 unverified · 7 pointer-only (licence)
  Simple Online and Realtime Tracking (SORT) is a pragmatic approach to multiple object tracking with a focus on simple, effective algorithms.
• Simple Online and Realtime Tracking
  2 Feb 2016 56 repositories listed Syntology ran 15 of 40 samples · 25 unverified · 7 pointer-only (licence)
  This paper explores a pragmatic approach to multiple object tracking where the main focus is to associate objects efficiently for online and realtime applications.
• FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking
  4 Apr 2020 33 repositories listed Syntology ran 8 of 53 samples · 45 unverified
  Formulating MOT as multi-task learning of object detection and re-ID in a single network is appealing since it allows joint optimization of the two tasks and enjoys high computation efficiency.
• Towards Real-Time Multi-Object Tracking
  27 Sep 2019 12 repositories listed Syntology ran 2 of 36 samples · 34 unverified
  In this paper, we propose an MOT system that allows target detection and appearance embedding to be learned in a shared model.
• ByteTrack: Multi-Object Tracking by Associating Every Detection Box
  13 Oct 2021 10 repositories listed Syntology ran 1 of 12 samples · 11 unverified
  ByteTrack also achieves state-of-the-art performance on MOT20, HiEve and BDD100K tracking benchmarks.
• PP-YOLOE: An evolved version of YOLO
  30 Mar 2022 8 repositories listed Syntology ran 5 of 27 samples · 22 unverified
  In this report, we present PP-YOLOE, an industrial state-of-the-art object detector with high performance and friendly deployment.
• MOT16: A Benchmark for Multi-Object Tracking
  2 Mar 2016 8 repositories listed Syntology ran 11 of 38 samples · 27 unverified · 1 pointer-only (licence)
  Recently, a new benchmark for Multiple Object Tracking, MOTChallenge, was launched with the goal of collecting existing and new data and creating a framework for the standardized evaluation of multiple object tracking…
• SoccerNet 2022 Challenges Results
  5 Oct 2022 7 repositories listed
  The SoccerNet 2022 challenges were the second annual video understanding challenges organized by the SoccerNet team.
• Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking
  27 Mar 2022 7 repositories listed Syntology ran 15 of 31 samples · 16 unverified · 2 pointer-only (licence)
  Instead of relying only on the linear state estimate (i.
• Tracking Objects as Points
  2 Apr 2020 7 repositories listed Syntology ran 4 of 16 samples · 12 unverified
  Nowadays, tracking is dominated by pipelines that perform object detection followed by temporal association, also known as tracking-by-detection.
• MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object Detectors
  17 Nov 2022 4 repositories listed
  In this paper, we propose MOTRv2, a simple yet effective pipeline to bootstrap end-to-end multi-object tracking with a pretrained object detector.
• Tracking Pedestrian Heads in Dense Crowd
  24 Mar 2021 4 repositories listed
  Moreover, we also propose a new head detector, HeadHunter, which is designed for small head detection in crowded scenes.
• BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
  12 May 2018 4 repositories listed Syntology ran 0 of 2 samples · 2 unverified
  Datasets drive vision progress, yet existing driving datasets are impoverished in terms of visual content and supported tasks to study multitask learning for autonomous driving.
• Lucid Data Dreaming for Video Object Segmentation
  28 Mar 2017 4 repositories listed
  Our approach is suitable for both single and multiple object segmentation.
• The 1st-place Solution for ECCV 2022 Multiple People Tracking in Group Dance Challenge
  27 Oct 2022 3 repositories listed
  We present our 1st place solution to the Group Dance Multiple People Tracking Challenge.
• Real Time Pear Fruit Detection and Counting Using YOLOv4 Models and Deep SORT
  14 Jul 2021 3 repositories listed
  In terms of accuracy, YOLOv4-CSP was observed as the optimal model, with an AP@0.
• EagerMOT: 3D Multi-Object Tracking via Sensor Fusion
  29 Apr 2021 3 repositories listed Syntology ran 0 of 4 samples · 4 unverified
  Multi-object tracking (MOT) enables mobile robots to perform well-informed motion planning and navigation by localizing surrounding objects in 3D space and time.
• Simultaneous Detection and Tracking with Motion Modelling for Multiple Object Tracking
  20 Aug 2020 3 repositories listed
  Deep learning-based Multiple Object Tracking (MOT) currently relies on off-the-shelf detectors for tracking-by-detection.
• Quasi-Dense Similarity Learning for Multiple Object Tracking
  11 Jun 2020 3 repositories listed
  Compared to methods with similar detectors, it boosts almost 10 points of MOTA and significantly decreases the number of ID switches on BDD100K and Waymo datasets.
• GTA: Global Tracklet Association for Multi-Object Tracking in Sports
  12 Nov 2024 2 repositories listed
  The proposed method achieved a new state-of-the-art performance on the SportsMOT dataset with HOTA score of 81.
• When to Extract ReID Features: A Selective Approach for Improved Multiple Object Tracking
  10 Sep 2024 2 repositories listed
  In this paper, we investigate a selective approach to minimize the overhead of feature extraction while preserving accuracy, modularity, and ease of implementation.
• BoostTrack++: using tracklet information to detect more objects in multiple object tracking
  23 Aug 2024 2 repositories listed
  In this paper, we identify the limitations of the confidence boost used in BoostTrack and propose a method to improve its performance.
• Trackastra: Transformer-based cell tracking for live-cell microscopy
  24 May 2024 2 repositories listed
  Importantly, unlike existing transformer-based MOT pipelines, our learning architecture also accounts for dividing objects such as cells and allows for accurate tracking even with simple greedy linking, thus making…
• SoccerNet 2023 Challenges Results
  12 Sep 2023 2 repositories listed
  More information on the tasks, challenges, and leaderboards are available on https://www.
• Hybrid-SORT: Weak Cues Matter for Online Multi-Object Tracking
  1 Aug 2023 2 repositories listed
  Also, our method shows strong generalization for diverse trackers and scenarios in a plug-and-play and training-free manner.
• Iterative Scale-Up ExpansionIoU and Deep Features Association for Multi-Object Tracking in Sports
  22 Jun 2023 2 repositories listed
  Additionally, relying on the Kalman filter in recent tracking algorithms falls short when object motion defies its linear assumption.
• SparseTrack: Multi-Object Tracking by Performing Scene Decomposition based on Pseudo-Depth
  8 Jun 2023 2 repositories listed
  By integrating the pseudo-depth method and the DCM strategy into the data association process, we propose a new tracker, called SparseTrack.
• SMILEtrack: SiMIlarity LEarning for Occlusion-Aware Multiple Object Tracking
  16 Nov 2022 2 repositories listed
  Second, we develop a Similarity Matching Cascade (SMC) module with a novel GATE function for robust object matching across consecutive video frames, further enhancing MOT performance.
• QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking
  12 Oct 2022 2 repositories listed Syntology ran 0 of 4 samples · 4 unverified
  In this paper, we present Quasi-Dense Similarity Learning, which densely samples hundreds of object regions on a pair of images for contrastive learning.
• DR.VIC: Decomposition and Reasoning for Video Individual Counting
  23 Mar 2022 2 repositories listed Syntology ran 6 of 11 samples · 5 unverified · 11 pointer-only (licence)
  Instead of relying on the Multiple Object Tracking (MOT) techniques, we propose to solve the problem by decomposing all pedestrians into the initial pedestrians who existed in the first frame and the new pedestrians…

Syntology lines on 13 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.