OpenCV for Secret Agents

by Joseph Howse

Overview

OpenCV is a computer vision library that can view and interpret images and video, categorize them, and make decisions depending on their content. OpenCV can be used for object detection, object recognition, gesture detection, motion amplification, and image processing, which will allow you to match even James Bond’s abilities.

Giving you a variety of exciting tasks, this book will first help you to use OpenCV to search through images, interpret them, and then categorize them. Later you will learn how to make OpenCV recognize your suave actions through motion detection and gesture recognition and then perform a certain task. In more advanced topics, you will even be able to use motion-amplifying glasses to record a person’s heartbeat or fit your sports car with object tracking capabilities. While this might not grant you double-0 status, it will grant you the means to implement OpenCV for many different ways to suit your needs.

This guide provides many practical exercises that will allow you to develop your capabilities with OpenCV, as well as giving you skills to integrate with a variety of hardware and software, such as the Raspberry Pi, Android devices, and the Unity game engine. Q himself couldn't do better.

Product Details

ISBN-13:	9781783287376
Publisher:	Packt Publishing
Publication date:	01/30/2015
Pages:	302
Product dimensions:	7.50(w) x 9.25(h) x 0.63(d)

About the Author

Joseph Howse might be at home right now, sitting on a sofa and writing a book, or he might have dashed away with a suitcase full of books, cameras, and computers. He is equipped to "see the world" or at least to do his work in computer vision. He is a software developer at Ad-Dispatch (Canada), where he makes augmented reality games for iOS and Android. Thanks to computer vision, the games can make use of real-world props such as a child's drawings, toys, or blanket-forts. He also provides training and consulting services. He is currently consulting at Market Beat (El Salvador) on an embedded systems project that uses OpenCV for face recognition. He holds three masters degrees in Computer Science, International Development Studies, and Business Administration (Dalhousie University, Canada). His research has been published by ISMAR (International Symposium on Mixed and Augmented Realities), and he would love to meet you there if you go. Android Application Programming with OpenCV is Joe's second book with Packt. His first book, OpenCV Computer Vision with Python, includes an introduction to face tracking and depth cameras (for example, Kinect) on Windows, Mac, and Linux. Joe likes cats, kittens, oceans, and seas. Felines and saline water sustain him. He lives with his multi-species family in Halifax, on Canada's Atlantic coast.