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The Computer Vision Workshop

You're reading from The Computer Vision Workshop

Product type Book

Published in Jul 2020

Publisher Packt

ISBN-13 9781800201774

Pages 568 pages

Edition 1st Edition

Languages

Concepts

Authors (3):

Hafsa Asad

Vishwesh Ravi Shrimali

Nikhil Singh

View More author details

Table of Contents (10) Chapters

Preface

1. Basics of Image Processing

2. Common Operations When Working with Images

3. Working with Histograms

4. Working with contours

5. Face Processing in Image and Video

6. Object Tracking

7. Object Detection and Face Recognition

8. OpenVINO with OpenCV

Appendix

6. Object Tracking

Overview

This chapter aims to show you how to track an object of your choice in an input video stream using various object trackers shipped along with the OpenCV library. We will start by understanding the basic idea behind object tracking and its applications in real life. Then, we will move on and look at the various filters present in OpenCV, understanding their algorithms, as well as their advantages and disadvantages. Finally, we will also have a look at another popular library – Dlib – and learn about the object trackers provided by it.

By the end of this chapter, you will be able to create your own tracking application where you will use cascade classifiers to track a human throughout a video using trackers such as Meanshift, CAMShift, and more. You will also carry out a comparison between trackers (Dlib-based object trackers and OpenCV object tracking API) in this chapter's activity.

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Authors (3)

Hafsa Asad

Hafsa Asad graduated in Mechatronics Engineering from NUST, Pakistan. She worked at EVEATI Pvt Ltd for 5 years as a Machine Learning Engineer and Trainer.

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Vishwesh Ravi Shrimali

Vishwesh Ravi Shrimali graduated from BITS Pilani, where he studied mechanical engineering, in 2018. He also completed his Masters in Machine Learning and AI from LJMU in 2021. He has authored - Machine learning for OpenCV (2nd edition), Computer Vision Workshop and Data Science for Marketing Analytics (2nd edition) by Packt. When he is not writing blogs or working on projects, he likes to go on long walks or play his acoustic guitar.

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Nikhil Singh

Nikhil Singh is a computer vision and natural language processing engineer who likes to apply his knowledge of machine learning and deep learning to solve intriguing problems. He currently works as a data scientist for Alixpartners, London. After getting satisfactory results, he believes his work will help Alixpartners to achieve more excellence in their field. He is also the prime author of the book "Video Analytics using TensorFlow" for Apress Publication.

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