mlsanityData to 14 Oct 2026

TUMTraf EMOT: Event-Based Multi-Object Tracking Dataset and Baseline for Traffic Scenarios

arXiv 2512.14595 ↗First posted 16 Dec 2025cs.CVcited by 1

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Abstract (arXiv)

In Intelligent Transportation Systems (ITS), multi-object tracking is primarily based on frame-based cameras. However, these cameras tend to perform poorly under dim lighting and high-speed motion conditions. Event cameras, characterized by low latency, high dynamic range and high temporal resolution, have considerable potential to mitigate these issues. Compared to frame-based vision, there are far fewer studies on event-based vision. To address this research gap, we introduce an initial pilot dataset tailored for event-based ITS, covering vehicle and pedestrian detection and tracking. We establish a tracking-by-detection benchmark with a specialized feature extractor based on this dataset, achieving excellent performance.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 24 of its 37 references that are in the map. First posted on arXiv 16 Dec 2025.

Builds on

24 of 37 references.

References · 24

  1. 2016Feature Pyramid Networks for Object Detectioncited by 5,036
  2. 2015You Only Look Once: Unified, Real-Time Object Detectioncited by 4,852
  3. 2018YOLOv3: An Incremental Improvementcited by 2,659
  4. 2021YOLOX: Exceeding YOLO Series in 2021cited by 1,071
  5. 2019Event-based Vision: A Surveycited by 1,016
  6. 2017Simple Online and Realtime Tracking with a Deep Association Metriccited by 910
  7. 2016Simple Online and Realtime Trackingcited by 868
  8. 2021ByteTrack: Multi-Object Tracking by Associating Every Detection Boxcited by 823
  9. 2018Path Aggregation Network for Instance Segmentationcited by 798
  10. 2020HOTA: A Higher Order Metric for Evaluating Multi-Object Trackingcited by 552
  11. 2016MOT16: A Benchmark for Multi-Object Trackingcited by 532
  12. 2022BoT-SORT: Robust Associations Multi-Pedestrian Trackingcited by 320
12 more
  1. 2022StrongSORT: Make DeepSORT Great Againcited by 213
  2. 2020Learning to Detect Objects with a 1 Megapixel Event Cameracited by 186
  3. 2018A Unifying Contrast Maximization Framework for Event Cameras, with Applications to Motion, Depth, and Optical Flow Estimationcited by 178
  4. 2020A Large Scale Event-based Detection Dataset for Automotivecited by 109
  5. 2017DDD17: End-To-End DAVIS Driving Datasetcited by 84
  6. 2023Hybrid-SORT: Weak Cues Matter for Online Multi-Object Trackingcited by 67
  7. 2020DDD20 End-to-End Event Camera Driving Dataset: Fusing Frames and Events with Deep Learning for Improved Steering Predictioncited by 56
  8. 2023SODFormer: Streaming Object Detection with Transformer Using Events and Framescited by 39
  9. 2021Moving Object Detection for Event-based vision using Graph Spectral Clusteringcited by 28
  10. 2024Embracing Events and Frames with Hierarchical Feature Refinement Network for Object Detectioncited by 28
  11. 2021FAST-Dynamic-Vision: Detection and Tracking Dynamic Objects with Event and Depth Sensingcited by 14
  12. 2024TUMTraf Event: Calibration and Fusion Resulting in a Dataset for Roadside Event-Based and RGB Camerascited by 13

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 1.

1 paper.

  1. 2026Event-RGB Adaptive Tracking for Nighttime Highway Perceptioncited by 0