Tracking Objects in Video with Particle Filters

Overview

Embark on a project-based journey over an hour, where you will solve a compelling computer vision problem through "Tracking Objects in Video with Particle Filters." This course will immerse you into the world of real-world challenges such as noisy sensor data, dynamic changes in object shapes, and occlusion, where objects are hidden from view. Learn to navigate these obstacles using an advanced artificial intelligence technique known as a particle filter.

By the end of this course, participants will have gained the skill to construct a particle filter from the ground up, employing Python and numpy.

This course is particularly tailored for learners residing in the North America region, as efforts are underway to extend a similar learning experience to other regions. Offered through Coursera, this course falls under multiple categories including Artificial Intelligence Courses, Computer Vision Courses, and NumPy Courses, making it a perfect blend of learning paths for enthusiasts eager to dive deep into the world of computer vision.

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Taught by

Daniel Romaniuk

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Subjects