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學生對 Coursera Project Network 提供的 Tracking Objects in Video with Particle Filters 的評價和反饋


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....

1 - Tracking Objects in Video with Particle Filters 的 3 個評論(共 3 個)

創建者 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.

創建者 Muhammad A U R


The author don' have idea what he is teaching

創建者 Maximilian F A


C​ode barely worked