7. Object Detection and Tracking Using OpenCV and CUDA

Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA is available from:

This is the “Code in Action” video for chapter 7 of Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA by Bhaumik Vaidya, published by Packt. It includes the following topics:

00:12 Blue object detection and tracking
1:21 Canny edge detection
2:12 Straight-line detection using Hough transform
3:11 Circle detection
3:49 Features from Accelerated Segment Test (FAST) feature detector
4:30 Oriented FAST and Rotated BRIEF (ORB) feature detection
5:11 Speeded up robust feature detection and matching
6:12 Face detection using Haar cascade
6:52 From video
8:04 Eye detection using Haar cascade
8:46 Mixture of Gaussian (MoG) method
9:32 GMG for background subtraction

This book is a guide to explore how accelerating of computer vision applications using GPUs will help you develop algorithms that work on complex image data in real time. It will solve the problems you face while deploying these algorithms on embedded platforms with the help of development boards from NVIDIA such as the Jetson TX1, Jetson TX2, and Jetson TK1.

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Video created by Bhaumik Vaidya

[danchiel]

Hi, thanks a lot for the video it is very helpful. Im trying to do surface inspection on lamellas and this is very useful to me.

[dillon]

Does Cuda library work if i don't have nvidia gpu? I tried to build OpenCV contribute with Cmake and Cuda options but i had several errors