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OpenCV Essentials

You're reading from   OpenCV Essentials Acquire, process, and analyze visual content to build full-fledged imaging applications using OpenCV

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Product type Paperback
Published in Aug 2014
Publisher
ISBN-13 9781783984244
Length 214 pages
Edition 1st Edition
Tools
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Toc

Table of Contents (10) Chapters Close

Preface 1. Getting Started FREE CHAPTER 2. Something We Look At – Graphical User Interfaces 3. First Things First – Image Processing 4. What's in the Image? Segmentation 5. Focusing on the Interesting 2D Features 6. Where's Wally? Object Detection 7. What Is He Doing? Motion 8. Advanced Topics Index

Reading video sequences


To process a video sequence, we should be able to read each frame. OpenCV has developed an easy-to-use framework that can work with video files and camera input.

The following code is a videoCamera example that works with a video captured from a video camera. This example is a modification of an example in Chapter 1, Getting Started, and we will use it as the basic structure for other examples in this chapter:

#include "opencv2/opencv.hpp"

using namespace std;
using namespace cv;

int videoCamera()
{
    //1-Open the video camera
    VideoCapture capture(0);

    //Check if video camera is opened
    if(!capture.isOpened()) return 1;

    bool finish = false;
    Mat frame;
    Mat prev_frame;
    namedWindow("Video Camera");

    if(!capture.read(prev_frame)) return 1;

    //Convert to gray image
    cvtColor(prev_frame,prev_frame,COLOR_BGR2GRAY);

    while(!finish)
    {
        //2-Read each frame, if possible
        if(!capture.read(frame)) return 1;

     ...
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