These training materials will help your team get started with designing and deploying computer vision algorithms using MATLAB and Simulink. In this course, you’ll learn fundamental computer vision techniques such as feature extraction, object detection, text recognition, and point cloud processing. This will enable you to perform tasks such as autonomous recognition of targets and obstacle avoidance.
Object Detection Using Blob Analysis Learn to detect objects using blob analysis and in doing so, learn how to perform color space conversion, thresholding, morphological operations, and video annotation.
Automating Image Registration Learn to estimate geometric transforms, apply the transform, and specify image coordinates using panoramic stitching as an example.
Object Detection: Part 1 Learn to detect objects using template matching, histogram of gradients (HOG), and cascade object detectors
Object Detection: Part 2 Learn to detect moving objects using Foreground Detection and recognize text using OCR.
Motion Estimation In this video, you will learn how to estimate motion between video frames using Optical Flow.
Object Tracking In this video, you will learn how to track an object across video frames using histogram based tracking and Kalman Filters.