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- Level Intermediate
- Duration 3 hours
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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.Auto Summary
Join this engaging, intermediate-level course on Coursera to solve a real-world computer vision problem using particle filters. Perfect for personal development, this one-hour project-based course offers a focused, practical approach. Enjoy free subscription options and enhance your skills in object tracking within video content. Ideal for learners looking to advance their expertise in this domain.