Tracking Objects in Video with Particle Filters

提供方
在此指导项目中,您将:
1 hour
高级设置
无需下载
分屏视频
英语(English)
仅限桌面

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.

您要培养的技能

  • Particle Filter

  • Opencv

  • Artificial Intelligence (AI)

  • Python Programming

  • Numpy

分步进行学习

在与您的工作区一起在分屏中播放的视频中,您的授课教师将指导您完成每个步骤:

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