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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

Product type Paperback

Published in Feb 2017

Publisher

ISBN-13 9781786469717

Length 474 pages

Edition 3rd Edition

Languages

C++

Tools

OpenCV

Concepts

Computer Vision

Author (1):

Robert Laganiere

View More author details

Table of Contents (21) Chapters

OpenCV 3 Computer Vision Application Programming Cookbook - Third Edition

Credits

About the Author

About the Reviewer

www.PacktPub.com

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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

Using the mean shift algorithm to find an object

The result of a histogram backprojection is a probability map that expresses the probability that a given piece of image content is found at a specific image location. Suppose we now know the approximate location of an object in an image; the probability map can be used to find the exact location of the object. The most probable location will be the one that maximizes this probability inside a given window. Therefore, if we start from an initial location and iteratively move around in an attempt to increase the local probability measure, it should be possible to find the exact object location. This is what is accomplished by the mean shift algorithm.

How to do it...

Suppose we have identified an object of interest here, a baboon's face, as shown in the following image:

This time, we will describe this object by using the hue channel of the HSV color space. This means that we need to convert the image into an HSV one and then extract the hue...

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Authors (1)

Robert Laganiere

Robert Laganiere

Robert Laganiere is a professor at the School of Electrical Engineering and Computer Science of the University of Ottawa, Canada. He is also a faculty member of the VIVA research lab and is the co-author of several scientific publications and patents in content based video analysis, visual surveillance, driver-assistance, object detection, and tracking. Robert authored the OpenCV2 Computer Vision Application Programming Cookbook in 2011 and co-authored Object Oriented Software Development published by McGraw Hill in 2001. He co-founded Visual Cortek in 2006, an Ottawa-based video analytics start-up that was later acquired by iwatchlife.com in 2009. He is also a consultant in computer vision and has assumed the role of Chief Scientist in a number of start-up companies such as Cognivue Corp, iWatchlife, and Tempo Analytics. Robert has a Bachelor of Electrical Engineering degree from Ecole Polytechnique in Montreal (1987) and MSc and PhD degrees from INRS-Telecommunications, Montreal (1996). You can visit the author's website at laganiere.name.

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