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Coursera Project Network

Tracking Objects in Video with Particle Filters

Coursera Project Network via Coursera


In this one hour long project-based course, you will tackle a real-world computer vision problem. We will be locating and tracking a target in a video shot with a digital camera. We will encounter some of the classic challenges that make computer vision difficult: noisy sensor data, objects that change shape, and occlusion (object hidden from view).

We will tackle these challenges with an artificial intelligence technique called a particle filter.

By the end of this project, you will have coded a particle filter from scratch using Python and numpy.

Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Taught by

Daniel Romaniuk


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