Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
OpenCV 4 for Secret Agents

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

Arrow left icon
Product type Paperback
Published in Apr 2019
Publisher Packt
ISBN-13 9781789345360
Length 336 pages
Edition 2nd Edition
Languages
Tools
Arrow right icon
Authors (2):
Arrow left icon
Joseph Howse Joseph Howse
Author Profile Icon Joseph Howse
Joseph Howse
Arun Ponnusamy Arun Ponnusamy
Author Profile Icon Arun Ponnusamy
Arun Ponnusamy
Arrow right icon
View More author details
Toc

Table of Contents (16) Chapters Close

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

Extracting repeating signals from video using the fast Fourier transform

An audio signal is typically visualized as a bar chart or wave. The bar or wave is high when the sound is loud and low when it is soft. We recognize that a repetitive sound, such as a metronome's beat, makes repetitive peaks and valleys in the visualization. When audio has multiple channels (such as a stereo or surround-sound recording), each channel can be considered a separate signal and can be visualized as a separate bar chart or wave.

Similarly, in a video, every channel of every pixel can be considered a separate signal, rising and falling (becoming brighter and dimmer) over time. Imagine that we use a stationary camera to capture a video of a metronome. In this case, certain pixel values will rise and fall at a regular interval as they capture the passage of the metronome's needle. If the...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image