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Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA

You're reading from   Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA Effective techniques for processing complex image data in real time using GPUs

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Product type Paperback
Published in Sep 2018
Publisher Packt
ISBN-13 9781789348293
Length 380 pages
Edition 1st Edition
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Author (1):
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Bhaumik Vaidya Bhaumik Vaidya
Author Profile Icon Bhaumik Vaidya
Bhaumik Vaidya
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Table of Contents (15) Chapters Close

Preface 1. Introducing CUDA and Getting Started with CUDA 2. Parallel Programming using CUDA C FREE CHAPTER 3. Threads, Synchronization, and Memory 4. Advanced Concepts in CUDA 5. Getting Started with OpenCV with CUDA Support 6. Basic Computer Vision Operations Using OpenCV and CUDA 7. Object Detection and Tracking Using OpenCV and CUDA 8. Introduction to the Jetson TX1 Development Board and Installing OpenCV on Jetson TX1 9. Deploying Computer Vision Applications on Jetson TX1 10. Getting Started with PyCUDA 11. Working with PyCUDA 12. Basic Computer Vision Applications Using PyCUDA 13. Assessments 14. Other Books You May Enjoy

Object Detection and Tracking Using OpenCV and CUDA

The last chapter described basic computer vision operations using OpenCV and CUDA. In this chapter, we will see how to use these basic operations along with OpenCV and CUDA to develop complex computer vision applications. We will use the example of object detection and tracking to demonstrate this concept. Object detection and tracking is a very active area of research in computer vision. It deals with identifying the location of an object in an image and tracking it in a sequence of frames. Many algorithms are proposed for this task based on color, shape, and the other salient features of an image. In this chapter, these algorithms are implemented using OpenCV and CUDA. We start with an explanation of detecting an object based on color, then describe the methods to detect an object with a particular shape. All objects have salient...

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