OpenCV based multi-object-tracker with various object detection models
Multi-object trackers in Python. Contribute to adipandas/multi-object-tracker development by creating an account on GitHub.
OpenCV based multi-object-tracker with various object detection models launched on November 6, 2019 with 105 votes, #283 of 3,203 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 6 years on.
In plain words
This is an open-source multi-object tracking system built on OpenCV that supports various object detection models. It is designed for developers and researchers who need to track multiple objects across video frames. The software combines computer vision capabilities with flexible detection options, allowing users to integrate different detection models according to their specific tracking requirements. Available on GitHub, it provides a foundation for building custom tracking applications.
written from the facts on this page · September 2026
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Hey HN! We're the creators of Sieve API (https://www.sievedata.com) and we recently built this fun site that folks can play around with. Frontend is built with NextJS + Tailwind UI and backend is our API. It uses ffmpeg in the browser to transcode an uploaded video, chop it to 5 seconds, and then send it to our API endpoint which detects and tracks objects in the video. You can then "select" any object and track it over the video. We thought it'd be a fun thing for the community to play around with while also showing the power of video object tracking!
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