GeekAlexis/FastMOT
High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
This tool helps you automatically track multiple moving objects in real-time video feeds from sources like security cameras, drones, or dashcams. It takes live video or video files as input and outputs a video or data stream with identified and consistently tracked objects, such as people or vehicles. Security analysts, traffic managers, sports analysts, or anyone monitoring moving objects in video could use this.
1,210 stars. No commits in the last 6 months.
Use this if you need fast, accurate, and continuous tracking of multiple objects in video streams, especially in crowded scenes or from a moving camera, and want to run it efficiently on devices like NVIDIA Jetson.
Not ideal if your primary goal is static object detection without the need to maintain identity over time, or if you don't require real-time processing and can use less optimized, simpler solutions.
Stars
1,210
Forks
255
Language
Python
License
MIT
Category
Last pushed
Jul 25, 2024
Commits (30d)
0
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