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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

Summary


This chapter covered an important subject in Computer Vision. Motion detection is an essential task, and in this chapter, we have provided the reader with the insight and samples that are required for the most useful methods available in OpenCV: working with video sequences (see the videoCamera example), the Optical Flow technique (see the maxMovementLK and maxMovementFarneback examples), tracking (see the trackingMeanShift and trackingCamShift examples), the Motion templates (see the motionHistory and motionGradient examples), the Background subtraction technique (see the backgroundSubKNN example), and image alignment (see the findCameraMovement example).

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