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OpenCV 3 Computer Vision with Python Cookbook

You're reading from   OpenCV 3 Computer Vision with Python Cookbook Leverage the power of OpenCV 3 and Python to build computer vision applications

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Product type Paperback
Published in Mar 2018
Publisher Packt
ISBN-13 9781788474443
Length 306 pages
Edition 1st Edition
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Authors (2):
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Aleksandr Rybnikov Aleksandr Rybnikov
Author Profile Icon Aleksandr Rybnikov
Aleksandr Rybnikov
Aleksei Spizhevoi Aleksei Spizhevoi
Author Profile Icon Aleksei Spizhevoi
Aleksei Spizhevoi
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Toc

Table of Contents (11) Chapters Close

Preface 1. I/O and GUI FREE CHAPTER 2. Matrices, Colors, and Filters 3. Contours and Segmentation 4. Object Detection and Machine Learning 5. Deep Learning 6. Linear Algebra 7. Detectors and Descriptors 8. Image and Video Processing 9. Multiple View Geometry 10. Other Books You May Enjoy

Computing the dense optical flow between two frames

The optical flow is a family of algorithms which addresses the issue of finding the movement of points between two images (usually subsequent frames in a video). Dense optical flow algorithms find movements of all pixels in a frame. The dense optical flow can be used to find objects moving in a sequence of frames, or to detect camera movements. In this recipe, we will find out how to compute and display the dense optical flow in several ways, using OpenCV functionality.

Getting ready

Before you proceed with this recipe, you need to install the OpenCV 3.x Python API package.

How...

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