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Tracking Objects in Video with Particle Filters(으)로 돌아가기

Coursera Project Network의 Tracking Objects in Video with Particle Filters 학습자 리뷰 및 피드백

강좌 소개

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....
필터링 기준:

Tracking Objects in Video with Particle Filters의 3개 리뷰 중 1~3

교육 기관: Alexey B

2022년 5월 13일

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.

교육 기관: Muhammad A U R

2022년 2월 3일

The author don' have idea what he is teaching

교육 기관: Maximilian F A

2021년 12월 15일

C​ode barely worked