From the series: Student Competition: Computer Vision Training
Swarooph Seshadri, MathWorks
In this video, you will learn how to detect lines using MATLAB. We will explain the concept of a Hough Transform and demonstrate how to use Hough Transform to extract line segments. Tips on some preprocessing techniques are also provided to improve line detection results. An example of lane detection is used to explain these concepts.
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.
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