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OpenCV Computer Vision with Java

You're reading from   OpenCV Computer Vision with Java Create multiplatform computer vision desktop and web applications using the combination of OpenCV and Java

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Product type Paperback
Published in Jul 2015
Publisher
ISBN-13 9781783283972
Length 174 pages
Edition 1st Edition
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Author (1):
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Daniel Lelis Baggio Daniel Lelis Baggio
Author Profile Icon Daniel Lelis Baggio
Daniel Lelis Baggio
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Table of Contents (9) Chapters Close

Preface 1. Setting Up OpenCV for Java FREE CHAPTER 2. Handling Matrices, Files, Cameras, and GUIs 3. Image Filters and Morphological Operators 4. Image Transforms 5. Object Detection Using Ada Boost and Haar Cascades 6. Detecting Foreground and Background Regions and Depth with a Kinect Device 7. OpenCV on the Server Side Index

Chapter 6. Detecting Foreground and Background Regions and Depth with a Kinect Device

In the field of video security applications, one often needs to notice the differences between frames because that's where the action happens. In other fields, it is also very important to isolate the objects from the background. This chapter shows several techniques to achieve this goal, comparing their strengths and weaknesses. Another completely different approach for detecting foreground or background regions is using a depth device like a Kinect. This chapter also deals with how to accomplish this goal with this device.

In this chapter, we will be covering:

  • Background subtraction
  • Frame differencing
  • Averaging background method
  • Mixture of Gaussian's method
  • Contour finding
  • Kinect depth maps

By the end of this chapter, you will have several approaches solving the problem of finding foreground/background regions, either through direct image processing or using a depth-compatible device such...

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