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OpenCV Computer Vision with Java

OpenCV Computer Vision with Java

By : Daniel Lelis Baggio
3.4 (5)
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OpenCV Computer Vision with Java

OpenCV Computer Vision with Java

3.4 (5)
By: Daniel Lelis Baggio

Overview of this book

If you are a Java developer, student, researcher, or hobbyist wanting to create computer vision applications in Java then this book is for you. If you are an experienced C/C++ developer who is used to working with OpenCV, you will also find this book very useful for migrating your applications to Java. All you need is basic knowledge of Java, with no prior understanding of computer vision required, as this book will give you clear explanations and examples of the basics.
Table of Contents (9 chapters)
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8
Index

Frame differencing


It should be straightforward to think of a simple background subtraction in order to retrieve foreground objects. A simple solution could look similar to the following line of code:

Core.absdiff(backgroundImage,inputImage , foregroundImage);

This function simply subtracts each pixel of backgroundImage from inputImage and writes its absolute value in foregroundImage. As long as we have initialized the background to backgroundImage and we have that clear from objects, this could work as a simple solution.

Here follows the background subtraction video processor code:

public class AbsDifferenceBackground implements VideoProcessor {
  private Mat backgroundImage;

  public AbsDifferenceBackground(Mat backgroundImage) {
    this.backgroundImage = backgroundImage;
  }

  public Mat process(Mat inputImage) {
    Mat foregroundImage = new Mat();
    Core.absdiff(backgroundImage,inputImage , foregroundImage);
    return foregroundImage;
  }

}

The main method, process, is really simple...

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