Tracking Objects in Video with Particle Filters

提供方
Coursera Project Network
在此指導項目中,您將:

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

Clock1 hour
Advanced高級設置
Cloud無需下載
Video分屏視頻
Comment Dots英語(English)
Laptop僅限桌面

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.

您要培養的技能

  • Particle Filter
  • Opencv
  • Artificial Intelligence (AI)
  • Python Programming
  • Numpy

分步進行學習

在與您的工作區一起在分屏中播放的視頻中,您的授課教師將指導您完成每個步驟:

  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

指導項目工作原理

您的工作空間就是瀏覽器中的雲桌面,無需下載

在分屏視頻中,您的授課教師會為您提供分步指導

常見問題

常見問題

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