Book Image

OpenCV 3 Computer Vision Application Programming Cookbook - Third Edition

By : Robert Laganiere
Book Image

OpenCV 3 Computer Vision Application Programming Cookbook - Third Edition

By: Robert Laganiere

Overview of this book

Making your applications see has never been easier with OpenCV. With it, you can teach your robot how to follow your cat, write a program to correctly identify the members of One Direction, or even help you find the right colors for your redecoration. OpenCV 3 Computer Vision Application Programming Cookbook Third Edition provides a complete introduction to the OpenCV library and explains how to build your first computer vision program. You will be presented with a variety of computer vision algorithms and exposed to important concepts in image and video analysis that will enable you to build your own computer vision applications. This book helps you to get started with the library, and shows you how to install and deploy the OpenCV library to write effective computer vision applications following good programming practices. You will learn how to read and write images and manipulate their pixels. Different techniques for image enhancement and shape analysis will be presented. You will learn how to detect specific image features such as lines, circles or corners. You will be introduced to the concepts of mathematical morphology and image filtering. The most recent methods for image matching and object recognition are described, and you’ll discover how to process video from files or cameras, as well as how to detect and track moving objects. Techniques to achieve camera calibration and perform multiple-view analysis will also be explained. Finally, you’ll also get acquainted with recent approaches in machine learning and object classification.
Table of Contents (21 chapters)
OpenCV 3 Computer Vision Application Programming Cookbook - Third Edition
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Introduction


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 in 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 facilitate its transmission or storage. This chapter will present a few algorithms that track the motion in an image sequence...