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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

Introduction

Video signals constitute a rich source of visual information. They are made of a sequence of images, called frames, that are taken at regular time intervals (specified as the frame rate, generally expressed in frames per second) and show a scene in motion. With the advent of powerful computers, it is now possible to perform advanced visual analysis on video sequences-sometimes at rates close to, or even faster than, the actual video frame rate. This chapter will show you how to read, process, and store video sequences.

We will see that once the individual frames of a video sequence have been extracted, the different image processing functions presented in this book can be applied to each of them. In addition, we will also look at algorithms that perform a temporal analysis of the video sequence, comparing adjacent frames and accumulating image statistics over time in order to extract foreground objects.

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