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OpenCV 3 Blueprints

You're reading from   OpenCV 3 Blueprints Expand your knowledge of computer vision by building amazing projects with OpenCV 3

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Product type Paperback
Published in Nov 2015
Publisher
ISBN-13 9781784399757
Length 382 pages
Edition 1st Edition
Tools
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Toc

Table of Contents (9) Chapters Close

Preface 1. Getting the Most out of Your Camera System FREE CHAPTER 2. Photographing Nature and Wildlife with an Automated Camera 3. Recognizing Facial Expressions with Machine Learning 4. Panoramic Image Stitching Application Using Android Studio and NDK 5. Generic Object Detection for Industrial Applications 6. Efficient Person Identification Using Biometric Properties 7. Gyroscopic Video Stabilization Index

Planning the camera trap

Our camera trap will use a computer with two attached cameras. One camera will continuously capture low-resolution images. For example, this first camera may be an ordinary webcam. Our software will analyze the low-resolution images to detect the presence of a subject. We will explore three basic detection techniques based on motion, color, and object classification. When a subject is detected, the second camera will activate to capture and save a finite series of high-resolution images. This second camera will be a dedicated photo camera, with its own battery and storage. We will not necessarily analyze and record images at the fastest possible rate; rather, we will take care to conserve the host computer's resources as well as the photo camera's battery power and storage so that our photo trap can function for a long time.

Optionally, our software will configure the photo camera for exposure bracketing. This means that some photos in a series will be...

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