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Practical Computer Vision

You're reading from   Practical Computer Vision Extract insightful information from images using TensorFlow, Keras, and OpenCV

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Product type Paperback
Published in Feb 2018
Publisher Packt
ISBN-13 9781788297684
Length 234 pages
Edition 1st Edition
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Author (1):
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Abhinav Dadhich Abhinav Dadhich
Author Profile Icon Abhinav Dadhich
Abhinav Dadhich
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Table of Contents (12) Chapters Close

Preface 1. A Fast Introduction to Computer Vision FREE CHAPTER 2. Libraries, Development Platform, and Datasets 3. Image Filtering and Transformations in OpenCV 4. What is a Feature? 5. Convolutional Neural Networks 6. Feature-Based Object Detection 7. Segmentation and Tracking 8. 3D Computer Vision 9. Mathematics for Computer Vision 10. Machine Learning for Computer Vision 11. Other Books You May Enjoy

Tracking

Tracking is the problem of estimating the position of an object over consecutive image sequences. This is also further divided into single object tracking and multiple object tracking, however, both single and multi-object tracking require slightly different approaches. In this section, we will see the methods for multi-object tracking, as well as single-object tracking.

The methods for image-based tracking are used in several applications, such as action recognition, self-driving cars, security and surveillance, augmented reality apps, motion capture systems, and video compression techniques. In Augmented Reality (AR) apps, for example, if we want to draw a virtual three-dimensional object on a planar surface, we would want to keep track of the planar surface for a feasible output.

In surveillance or traffic monitoring, tracking vehicles and keeping records of number...

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