Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Coursera Project Network

Tracking Objects in Video with Particle Filters

Coursera Project Network via Coursera

Overview

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

Reviews

Start your review of Tracking Objects in Video with Particle Filters

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.