mlsanityData to 7 Oct 2026

Real-time Lane-wise Traffic Monitoring in Optimal ROIs

arXiv 2404.15212 ↗First posted 29 Mar 2024cs.CV eess.IVcited by 4

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Abstract (arXiv)

In the US, thousands of Pan, Tilt, and Zoom (PTZ) traffic cameras monitor highway conditions. There is a great interest in using these highway cameras to gather valuable road traffic data to support traffic analysis and decision-making for highway safety and efficient traffic management. However, there are too many cameras for a few human traffic operators to effectively monitor, so a fully automated solution is desired. This paper introduces a novel system that learns the locations of highway lanes and traffic directions from these camera feeds automatically. It collects real-time, lane-specific traffic data continuously, even adjusting for changes in camera angle or zoom. This facilitates efficient traffic analysis, decision-making, and improved highway safety.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 11 of its 30 references that are in the map. First posted on arXiv 29 Mar 2024.

Builds on

11 of 30 references.

References · 11

  1. 2015Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networkscited by 9,617
  2. 2017Mask R-CNNcited by 7,259
  3. 2015You Only Look Once: Unified, Real-Time Object Detectioncited by 4,829
  4. 2020YOLOv4: Optimal Speed and Accuracy of Object Detectioncited by 1,624
  5. 2017Simple Online and Realtime Tracking with a Deep Association Metriccited by 908
  6. 2016Simple Online and Realtime Trackingcited by 862
  7. 2017Soft-NMS -- Improving Object Detection With One Line of Codecited by 380
  8. 2020Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentationcited by 98
  9. 2021City-Scale Multi-Camera Vehicle Tracking Guided by Crossroad Zonescited by 18
  10. 2020Artificial Intelligence Enabled Traffic Monitoring Systemcited by 6
  11. 2018Traffic Danger Recognition With Surveillance Cameras Without Training Datacited by 3

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Cited by year

Citing papers per year: 2024: 2; 2025: 2.

4 papers.