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Learn OpenCV 4 by Building Projects

You're reading from   Learn OpenCV 4 by Building Projects Build real-world computer vision and image processing applications with OpenCV and C++

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Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781789341225
Length 310 pages
Edition 2nd Edition
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Authors (3):
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David Millán Escrivá David Millán Escrivá
Author Profile Icon David Millán Escrivá
David Millán Escrivá
Prateek Joshi Prateek Joshi
Author Profile Icon Prateek Joshi
Prateek Joshi
Vinícius G. Mendonça Vinícius G. Mendonça
Author Profile Icon Vinícius G. Mendonça
Vinícius G. Mendonça
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Table of Contents (14) Chapters Close

Preface 1. Getting Started with OpenCV FREE CHAPTER 2. An Introduction to the Basics of OpenCV 3. Learning Graphical User Interfaces 4. Delving into Histogram and Filters 5. Automated Optical Inspection, Object Segmentation, and Detection 6. Learning Object Classification 7. Detecting Face Parts and Overlaying Masks 8. Video Surveillance, Background Modeling, and Morphological Operations 9. Learning Object Tracking 10. Developing Segmentation Algorithms for Text Recognition 11. Text Recognition with Tesseract 12. Deep Learning with OpenCV 13. Other Books You May Enjoy

Learning Object Tracking

In the previous chapter, we learned about video surveillance, background modeling, and morphological image processing. We discussed how we can use different morphological operators to apply cool visual effects to input images. In this chapter, we are going to learn how to track an object in a live video. We will discuss the different characteristics of an object that can be used to track it. We will also learn about different methods and techniques for object tracking. Object tracking is used extensively in robotics, self-driving cars, vehicle tracking, player tracking in sports, and video compression.

By the end of this chapter, you will know the following:

  • How to track objects of a specific color
  • How to build an interactive object tracker
  • What a corner detector is
  • How to detect good features to track
  • How to build an optical flow-based feature tracker...
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