dasupradyumna/YOLOv7-DeepSORT-Human-Tracking
A human detector and tracker, written in python, using YOLOv7 for detection and DeepSORT for tracking the detections from YOLO.
This project helps operations managers, security personnel, or crowd analysts track moving individuals in video footage, even from low-quality sources. You provide a video, and it outputs a new video with bounding boxes and unique IDs around each person, showing their movement over time. It's designed for anyone who needs to monitor human activity or flow in a specific area.
No commits in the last 6 months.
Use this if you need to automatically identify and follow individual people through video footage, especially in scenarios with lower video quality.
Not ideal if you need to track objects other than people, require highly precise facial recognition, or do not have the technical expertise to set up a Python development environment.
Stars
39
Forks
12
Language
Python
License
GPL-3.0
Category
Last pushed
Feb 12, 2023
Commits (30d)
0
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