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).
OpenCV Essentials
OpenCV Essentials
Overview of this book
Table of Contents (15 chapters)
OpenCV Essentials
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
Getting Started
Something We Look At – Graphical User Interfaces
First Things First – Image Processing
What's in the Image? Segmentation
Focusing on the Interesting 2D Features
Where's Wally? Object Detection
What Is He Doing? Motion
Advanced Topics
Index
Customer Reviews