Book Image

Visual Media Processing Using MATLAB Beginner's Guide

By : George Siogkas
Book Image

Visual Media Processing Using MATLAB Beginner's Guide

By: George Siogkas

Overview of this book

Whether you want to enhance your holiday photographs or make a professional banner image for your website, you need a software tool that offers you quick and easy ways to accomplish it. All-in-one tools tend to be rare, and Matlab is one of the best available.This book is a practical guide full of step-by-step examples and exercises that will enable you to use Matlab as a powerful, complete, and versatile alternative to traditional image and video processing software.You will start off by learning the very basics of grayscale image manipulation in Matlab to master how to analyze 3-dimensional images and videos using the same tool. The methods you learn here are explained and expanded upon so that you gradually reach a more advanced level in Matlab image and video processing. You will be guided through the steps of opening, transforming, and saving images, later to be mixed with advanced masking techniques both in grayscale and in color. More advanced examples of artistic image processing are also provided, like creating panoramic photographs or HDR images. The second part of the book covers video processing techniques and guides you through the processes of creating time-lapse videos from still images, and acquiring, filtering, and saving videos in Matlab. You will learn how to use many useful functions and tools that transform Matlab from a scientific software to a powerful and complete solution for your everyday image and video processing needs.
Table of Contents (18 chapters)
Visual Media Processing Using MATLAB Beginner's Guide
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Time for action – tracking people with Horn-Schunck optical flow


First, we are going to demonstrate the method described by Horn and Schunck. A good example of its usage can be found if you type vision.OpticalFlow System object in the search box on the top-right corner of your MATLAB window. The help page for the object includes an example based on the viptraffic.avi video. In this example, we will show some alternative steps for the same process, using a different video as input.

Since we will be using the Computer Vision System Toolbox for the optical flow algorithms, we might as well use another one of the videos included in its demos. The video is called atrium.avi and shows several people walking in an atrium in arbitrary trajectories. Our goal is to estimate their motions. Since the methods for the optical flow we will use can be applied only to grayscale videos, we will also convert our frames to grayscale of type uint8. Here, we will try to estimate the motion between the 89th and...