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Qt 5 and OpenCV 4 Computer Vision Projects

You're reading from   Qt 5 and OpenCV 4 Computer Vision Projects Get up to speed with cross-platform computer vision app development by building seven practical projects

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Product type Paperback
Published in Jun 2019
Publisher Packt
ISBN-13 9781789532586
Length 348 pages
Edition 1st Edition
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Author (1):
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Zhuo Qingliang Zhuo Qingliang
Author Profile Icon Zhuo Qingliang
Zhuo Qingliang
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Table of Contents (11) Chapters Close

Preface 1. Building an Image Viewer FREE CHAPTER 2. Editing Images Like a Pro 3. Home Security Applications 4. Fun with Faces 5. Optical Character Recognition 6. Object Detection in Real Time 7. Real-Time Car Detection and Distance Measurement 8. Using OpenGL for the High-Speed Filtering of Images 9. Assessments 10. Other Books You May Enjoy

Chapter 3, Home Security Applications

  1. Can we detect motion from a video file instead of from a camera? How is this achieved?

Yes, we can. Just use the video file path to construct the VideoCapture instance. More details can be found at https://docs.opencv.org/4.0.0/d8/dfe/classcv_1_1VideoCapture.html.

  1. Can we perform the motion detection work in a thread that differs from the video capturing thread? If so, how is this possible?

Yes. But we should use a number of synchronization mechanisms to ensure data safety. Also, if we dispatch the frames to different threads, we must ensure that the order of the resulting frames is also correct when they are sent back and are about to be shown.

  1. IFTTT allows you to include images in the notifications it sends—How could we send an image with the motion we detected while sending notifications to your mobile phone via this feature...
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