Learn how to track and estimate the speed of vehicles using YOLO, ByteTrack, and Roboflow Inference. This comprehensive tutorial covers object detection, multi-object tracking, filtering detections, perspective transformation, speed estimation, visualization improvements, and more.
Use this knowledge to enhance traffic control systems, monitor road conditions, and gain valuable insights into vehicle behavior.
Chapters:
00:00 Intro
00:36 Object Detection
03:43 Multi-Object Tracking
05:11 Filtering Detections with Polygon Zone
06:39 Math Behind Perspective Transformation
14:35 Perspective Transformation in Code
16:46 Math Behind Speed Estimation
18:42 Speed Estimation in Code
21:29 Visualization Improvements
22:45 Final Results
Resources:
Roboflow: https://roboflow.com
💻 Speed Estimation Open-Source Code: https://github.com/roboflow/supervisi...
📚 "How to Estimate Speed with Computer Vision" https://blog.roboflow.com/estimate-sp...
📓Colab Notebook: https://colab.research.google.com/git...
⭐ Supervision GitHub: https://github.com/roboflow/supervision
⭐ Inference GitHub: https://github.com/roboflow/inference
📚 “How to Track Objects” Supervision Docs: https://supervision.roboflow.com/how_...
📚 “Annotators” Supervision Docs: https://supervision.roboflow.com/anno...
🎬 “Track & Count Objects using YOLOv8 ByteTrack & Supervision” YouTube video: • Track & Count Objects using YOLOv8 By...
🎬 “Traffic Analysis with YOLOv8 and ByteTrack - Vehicle Detection and Tracking” YouTube video: • Traffic Analysis with YOLOv8 and Byte...
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Stay updated with the projects I'm working on at https://github.com/roboflow and https://github.com/SkalskiP! ⭐
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