Tracking Objects in Video with Particle Filters

提供方
Coursera Project Network
在此指导项目中,您将:

C​ode a particle filter from scratch in Python and use it to track a target in a real-world video.

Clock1 hour
Advanced高级设置
Cloud无需下载
Video分屏视频
Comment Dots英语(English)
Laptop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:

  1. Load video frames

  2. Display video frames

  3. Initialize a particle filter

  4. Compute errors

  5. Compute weights and resample

  6. Apply noise

  7. Optimize the particle filter

指导项目工作原理

您的工作空间就是浏览器中的云桌面,无需下载

在分屏视频中,您的授课教师会为您提供分步指导

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