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OpenCV 3 Computer Vision Application Programming Cookbook

You're reading from   OpenCV 3 Computer Vision Application Programming Cookbook Recipes to make your applications see

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Product type Paperback
Published in Feb 2017
Publisher
ISBN-13 9781786469717
Length 474 pages
Edition 3rd Edition
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Author (1):
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Robert Laganiere Robert Laganiere
Author Profile Icon Robert Laganiere
Robert Laganiere
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Table of Contents (15) Chapters Close

Preface 1. Playing with Images FREE CHAPTER 2. Manipulating Pixels 3. Processing the Colors of an Image 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

Tracking an object in a video

In the previous two recipes, we learned how to track the motion of points and pixels in an image sequence. In many applications, however, the requirement is rather to track a specific moving object in a video. An object of interest is first identified and then it must be followed over a long sequence. This is challenging because as it evolves in the scene, the image of this object will undergo many changes in appearance due to viewpoint and illumination variations, non-rigid motion, occlusion, and so on.

This recipe presents some of the object-tracking algorithms implemented in the OpenCV library. These implementations are based on a common framework, which facilitates the substitution of one method by another. Contributors have also made available a number of new methods. Note that, we have already presented a solution to the object-tracking problem in the Counting pixels with integral images recipe in Chapter 4 , Counting the Pixels with Histograms; this...

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