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OpenCV with Python By Example

You're reading from OpenCV with Python By Example Build real-world computer vision applications and develop cool demos using OpenCV for Python

Product type Paperback

Published in Sep 2015

Publisher Packt

ISBN-13 9781785283932

Length 296 pages

Edition 1st Edition

Languages

Python

Tools

OpenCV

Concepts

Computer Vision

Author (1):

Joshi

View More author details

Table of Contents (19) Chapters

OpenCV with Python By Example

Credits

About the Author

About the Reviewers

www.PacktPub.com

Preface

1. Applying Geometric Transformations to Images FREE CHAPTER

2. Detecting Edges and Applying Image Filters

3. Cartoonizing an Image

4. Detecting and Tracking Different Body Parts

5. Extracting Features from an Image

6. Creating a Panoramic Image

7. Seam Carving

8. Detecting Shapes and Segmenting an Image

9. Object Tracking

10. Object Recognition

11. Stereo Vision and 3D Reconstruction

12. Augmented Reality

Index

Chapter 9. Object Tracking

In this chapter, we are going to learn about tracking an object in a live video. We will discuss the different characteristics that can be used to track an object. We will also learn about the different methods and techniques for object tracking.

By the end of this chapter, you will know:

How to use frame differencing
How to use colorspaces to track colored objects
How to build an interactive object tracker
How to build a feature tracker
How to build a video surveillance system

The rest of the chapter is locked

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Authors (1)

Joshi

Joshi

Prateek Joshi is the founder of Plutoshift and a published author of 9 books on Artificial Intelligence. He has been featured on Forbes 30 Under 30, NBC, Bloomberg, CNBC, TechCrunch, and The Business Journals. He has been an invited speaker at conferences such as TEDx, Global Big Data Conference, Machine Learning Developers Conference, and Silicon Valley Deep Learning. Apart from Artificial Intelligence, some of the topics that excite him are number theory, cryptography, and quantum computing. His greater goal is to make Artificial Intelligence accessible to everyone so that it can impact billions of people around the world.

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