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OpenCV 4 Computer Vision Application Programming Cookbook

You're reading from   OpenCV 4 Computer Vision Application Programming Cookbook Build complex computer vision applications with OpenCV and C++

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Product type Paperback
Published in May 2019
Publisher Packt
ISBN-13 9781789340723
Length 494 pages
Edition 4th Edition
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Authors (2):
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Robert Laganiere Robert Laganiere
Author Profile Icon Robert Laganiere
Robert Laganiere
David Millán Escrivá David Millán Escrivá
Author Profile Icon David Millán Escrivá
David Millán Escrivá
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Table of Contents (17) Chapters Close

Preface 1. Playing with Images FREE CHAPTER 2. Manipulating the Pixels 3. Processing Color Images with Classes 4. Counting the Pixels with Histograms 5. Transforming Images with Morphological Operations 6. Filtering the Images 7. Extracting Lines, Contours, and Components 8. Detecting Interest Points 9. Describing and Matching Interest Points 10. Estimating Projective Relations in Images 11. Reconstructing 3D Scenes 12. Processing Video Sequences 13. Tracking Visual Motion 14. Learning from Examples 15. OpenCV Advanced Features 16. Other Books You May Enjoy

Tracking Visual Motion

Video sequences are interesting because they show scenes and objects in motion. The preceding chapter introduced the tools for reading, processing, and saving videos. In this chapter, we will look at different algorithms that track the visible motion in a sequence of images. This visible or apparent motion can be caused by objects that move in different directions and at various speeds, or by the motion of the camera (or a combination of both).

Tracking apparent motion is of utmost importance for many applications. It allows you to follow specific objects while they are moving in order to estimate their speed and determine where they are going. It also permits you to stabilize videos taken from handheld cameras by removing or reducing the amplitude of camera jitters. Motion estimation is also used in video coding to compress a video sequence in order to...

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