Skip to Content
OpenCV 3 Computer Vision with Python Cookbook
book

OpenCV 3 Computer Vision with Python Cookbook

by Aleksei Spizhevoi, Aleksandr Rybnikov
March 2018
Beginner to intermediate
306 pages
9h 54m
English
Packt Publishing
Content preview from OpenCV 3 Computer Vision with Python Cookbook

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.

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Learning OpenCV 3 Computer Vision with Python (Update)

Learning OpenCV 3 Computer Vision with Python (Update)

Joe Minichino, Joseph Howse
OpenCV 4 with Python Blueprints - Second Edition

OpenCV 4 with Python Blueprints - Second Edition

Dr. Menua Gevorgyan, Michael Beyeler (USD), Arsen Mamikonyan, Michael Beyeler

Publisher Resources

ISBN: 9781788474443Supplemental Content