Volver a Tracking Objects in Video with Particle Filters
Opiniones y comentarios de aprendices correspondientes a Tracking Objects in Video with Particle Filters por parte de Coursera Project Network
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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.
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1 - 3 de 3 revisiones para Tracking Objects in Video with Particle Filters
por Alexey B
•13 de may. de 2022
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.
por Muhammad A U R
•3 de feb. de 2022
The author don' have idea what he is teaching
por Maximilian F A
•15 de dic. de 2021
Code barely worked
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