MuhammadMoinFaisal/YOLOv8-DeepSORT-Object-Tracking
Real-time multi-object tracking system combining YOLOv8 detection with DeepSORT re-identification using deep learning features.
Not currently ranked — collecting fresh signals.
star history
This project implements multi-object tracking by combining YOLOv8 for real-time object detection with DeepSORT for object tracking and re-identification. It runs the Ultralytics YOLOv8 model (via PyTorch) for detecting objects frame-by-frame, then uses DeepSORT’s deep appearance descriptor to maintain consistent object IDs across frames. The system supports tracking with visual trails, vehicle counting, and speed estimation on video streams.
Frequently asked
- What is MuhammadMoinFaisal/YOLOv8-DeepSORT-Object-Tracking?
- Real-time multi-object tracking system combining YOLOv8 detection with DeepSORT re-identification using deep learning features.
- Is YOLOv8-DeepSORT-Object-Tracking open source?
- Yes — MuhammadMoinFaisal/YOLOv8-DeepSORT-Object-Tracking is an open-source project tracked on heatdrop.
- What language is YOLOv8-DeepSORT-Object-Tracking written in?
- MuhammadMoinFaisal/YOLOv8-DeepSORT-Object-Tracking is primarily written in Jupyter Notebook.
- How popular is YOLOv8-DeepSORT-Object-Tracking?
- MuhammadMoinFaisal/YOLOv8-DeepSORT-Object-Tracking has 1.2k stars on GitHub.
- Where can I find YOLOv8-DeepSORT-Object-Tracking?
- MuhammadMoinFaisal/YOLOv8-DeepSORT-Object-Tracking is on GitHub at https://github.com/MuhammadMoinFaisal/YOLOv8-DeepSORT-Object-Tracking.