Computer Vision - Object Tracking with OpenCV and Python

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346 個評分
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Coursera Project Network
12,596 人已註冊
在此指導項目中,您將:

How Optical and Dense Optical Flow works

How MeanShift and CamShift work

How to do a Single and a Multi-Object Tracking

Clock2 hours
Intermediate中級
Cloud無需下載
Video分屏視頻
Comment Dots英語(English)
Laptop僅限桌面

In this 1-hour long project-based course, you will learn how to do Computer Vision Object Tracking from Videos. At the end of the project, you'll have learned how Optical and Dense Optical Flow work, how to use MeanShift and CamShist and how to do a Single and a Multi-Object Tracking. This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your Internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with (e.g. Python, Jupyter, and Tensorflow) pre-installed. Prerequisites: In order to be successful in this project, you should have a fundamental knowledge of Python and OpenCV. Notes: - You will be able to access the cloud desktop 5 times. However, you will be able to access instructions videos as many times as you want. - 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

OpencvPython ProgrammingJupyter Notebook

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. Task 1: Introduction

  2. Task 2: Optical Flow (in 4 parts)

  3. Task 3: Dense Optical Flow (in 2 parts)

  4. Task 4: MeanShift (in 3 parts)

  5. Task 5: CamShift

  6. Task 6: Single Object Tracking (in 3 parts)

  7. Task 7: Multi Object Tracking (in 3 parts)

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

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