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You're reading from OpenCV 4 for Secret Agents Use OpenCV 4 in secret projects to classify cats, reveal the unseen, and react to rogue drivers

Product type Paperback

Published in Apr 2019

Publisher Packt

ISBN-13 9781789345360

Length 336 pages

Edition 2nd Edition

Languages

Java

Tools

OpenCV

Concepts

Computer Vision

Authors (2):

Joseph Howse

Arun Ponnusamy

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Table of Contents (16) Chapters

Preface

1. Section 1: The Briefing FREE CHAPTER

2. Preparing for the Mission

3. Searching for Luxury Accommodations Worldwide

4. Section 2: The Chase

5. Training a Smart Alarm to Recognize the Villain and His Cat

6. Controlling a Phone App with Your Suave Gestures

7. Equipping Your Car with a Rearview Camera and Hazard Detection

8. Creating a Physics Simulation Based on a Pen and Paper Sketch

9. Section 3: The Big Reveal

10. Seeing a Heartbeat with a Motion-Amplifying Camera

11. Stopping Time and Seeing like a Bee

12. Making WxUtils.py Compatible with Raspberry Pi

13. Learning More about Feature Detection in OpenCV

14. Running with Snakes (or, First Steps with Python)

15. Other Books You May Enjoy

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Planning the Goldgesture app

Goldgesture is a GUI app built with the Android SDK and OpenCV's Java bindings for Android. It has just a single view, seen in the screenshot on the next page. The app has the following flow of execution:

Constantly display a live video feed from the front-facing (self-portrait) camera.
Perform human face detection using OpenCV's CascadeClassifier class.

When a human face is detected:
1. Draw a blue rectangle around the face.
2. Detect features of the face (points that should be easy to track in subsequent frames despite movement) using OpenCV's goodFeaturesToTrack function. Draw green circles around these features.
As the face moves, track the features in every frame using OpenCV's calcOpticalFlowPyrLK function. This function can continuously track the features even though CascadeClassifier is unlikely to continuously detect a...

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Authors (2)

Ponnusamy

Arun Ponnusamy works as a computer vision research engineer at an AI start-up in India. He is a lifelong learner, passionate about image processing, computer vision, and machine learning. He is an engineering graduate from PSG College of Technology, Coimbatore. He started his career at MulticoreWare Inc., where he spent most of his time on image processing, OpenCV, software optimization, and GPU computing. Arun loves to build his understanding of computer vision concepts clearly, allowing him to explain it in an intuitive way on his blog and in meetups. He has created an open source Python library for computer vision, named cvlib, which is aimed at simplicity and user friendliness. He is currently working on object detection, action recognition, and generative networks.

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Joseph Howse

Joseph Howse lives in a Canadian fishing village, where he chats with his cats, crafts his books, and nurtures an orchard of hardy fruit trees. He is President of Nummist Media Corporation, which exists to support his books and to provide mentoring and consulting services, with a specialty in computer vision. On average, in 2015-2022, Joseph has written 1.4 new books or new editions per year for Packt. He also writes fiction, including an upcoming novel about the lives of a group of young people in the last days of the Soviet Union.

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