LeonLok/Deep-SORT-YOLOv4
A real-time people detection and tracking system combining YOLOv4 object detection with Deep SORT multi-object tracking.
Not currently ranked — collecting fresh signals.
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This project implements a people detection and tracking pipeline using YOLOv4 for object detection and Deep SORT for multi-object tracking. It runs inference on video streams with optional asynchronous processing to improve frame rates. The implementation includes a track filtering algorithm based on detection confidence to reduce false positives in tracking.
Frequently asked
- What is LeonLok/Deep-SORT-YOLOv4?
- A real-time people detection and tracking system combining YOLOv4 object detection with Deep SORT multi-object tracking.
- Is Deep-SORT-YOLOv4 open source?
- Yes — LeonLok/Deep-SORT-YOLOv4 is open source, released under the GPL-3.0 license.
- What language is Deep-SORT-YOLOv4 written in?
- LeonLok/Deep-SORT-YOLOv4 is primarily written in Python.
- How popular is Deep-SORT-YOLOv4?
- LeonLok/Deep-SORT-YOLOv4 has 498 stars on GitHub.
- Where can I find Deep-SORT-YOLOv4?
- LeonLok/Deep-SORT-YOLOv4 is on GitHub at https://github.com/LeonLok/Deep-SORT-YOLOv4.