Multi-Object Tracking in Python
Hello! I've created a small library for tracking, along with a tutorial. I plan to continue developing it. Tracking is an important topic, closely related to object detection. However, I've noticed that it doesn't receive as much attention compared to machine learning approaches. Or, the focus is on filters like the Kalman filter. This tutorial begins with single object tracking and progressively complicates the tasks, introducing various models and a hypothesis tree to solve them.
Multi-Object Tracking in Python launched on November 15, 2023 with 48 votes, #1,163 of 4,333 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 2 years on.
In plain words
Multi-Object Tracking in Python is a library and tutorial for tracking objects in video or image sequences. It addresses the gap between object detection and practical tracking solutions, moving beyond traditional filter-based approaches. The tutorial starts with single object tracking and progressively introduces more complex scenarios, multiple objects, and hypothesis tree methods to handle real-world tracking challenges. Intended for developers and researchers working on computer vision projects.
written from the facts on this page · September 2026
From the sources
📡 implementation of multi object tracking algorithms including PMBM (Poisson Multi Bernoulli Mixture filter) in Python 🐍 - kharitonov-ivan/multi-object-tracking-in-python
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