Book Image

The Computer Vision Workshop

By : Hafsa Asad, Vishwesh Ravi Shrimali, Nikhil Singh
Book Image

The Computer Vision Workshop

By: Hafsa Asad, Vishwesh Ravi Shrimali, Nikhil Singh

Overview of this book

Computer Vision (CV) has become an important aspect of AI technology. From driverless cars to medical diagnostics and monitoring the health of crops to fraud detection in banking, computer vision is used across all domains to automate tasks. The Computer Vision Workshop will help you understand how computers master the art of processing digital images and videos to mimic human activities. Starting with an introduction to the OpenCV library, you'll learn how to write your first script using basic image processing operations. You'll then get to grips with essential image and video processing techniques such as histograms, contours, and face processing. As you progress, you'll become familiar with advanced computer vision and deep learning concepts, such as object detection, tracking, and recognition, and finally shift your focus from 2D to 3D visualization. This CV course will enable you to experiment with camera calibration and explore both passive and active canonical 3D reconstruction methods. By the end of this book, you'll have developed the practical skills necessary for building powerful applications to solve computer vision problems.
Table of Contents (10 chapters)

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.