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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 based on shape

The shape of an object can also be utilized as a global feature to detect an object with a distinct shape. This shape can be a straight line, polygons, circles, or any other irregular shapes. Object boundaries, edges, and contours can be utilized to detect an object with a particular shape. In this section, we will use the Canny edge detection algorithm and Hough transform to detect two regular shapes, which are a line and a circle.

Canny edge detection

In the last chapter, we saw various high pass filters, which can be used as edge detectors. In this section, the Canny edge detection algorithm, which combines Gaussian filtering, gradient finding, non-maximum suppression, and hysteresis...

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