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Tracking Objects in Video with Particle Filters に戻る

Coursera Project Network による Tracking Objects in Video with Particle Filters の受講者のレビューおよびフィードバック


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....

Tracking Objects in Video with Particle Filters: 1 - 3 / 3 レビュー

by Alexey B


IThe project is relatively easy but at the expense of being somewhat shallow w/r to the underlying fundamental knowledge. I was still happy to have done it and see particle filter tracking work.

by Muhammad A U R


The author don' have idea what he is teaching

by Maximilian F A


C​ode barely worked