Course Schedule

Prerequisites

MATLAB Fundamentals or equivalent experience using MATLAB. Image Processing with MATLAB and basic knowledge of image processing and computer vision concepts.

Computer Vision with MATLAB

This one-day course provides hands-on experience with performing computer vision tasks. Examples and exercises demonstrate the use of appropriate MATLAB^® and Computer Vision System Toolbox^™ functionality.
Topics include:

Importing, displaying, and annotating videos
Detecting objects in videos
Estimating motion of objects
Tracking a single object or multiple objects
Removing lens distortion and measuring planar objects

See detailed course outline

Prerequisites

MATLAB Fundamentals or equivalent experience using MATLAB. Image Processing with MATLAB and basic knowledge of image processing and computer vision concepts.

Day 1 of 1
Importing, Visualizing, and Annotating Videos	Objective: Import videos into MATLAB, as well as annotate and visualize them. The focus is on using System Objects^™ for performing iterative computations on video frames. Importing and displaying video files Highlighting objects by drawing markers and shapes like rectangles Combining and overlaying two images Performing iterative computations on video frames
Detecting Objects	Objective: Utilize machine learning and deep learning algorithms for complex object detection. Marking objects of interest in training images Training and using a cascade object detector Using a deep learning object detector
Estimating Motion	Objective: Estimate direction and strength of motion in a video sequence. Understanding motion perception in images Estimating motion using optical flow methods
Tracking Objects	Objective: Track single and multiple objects and estimate their trajectory. Handle occlusion by predicting object position. Tracking single objects using a Kalman Filter Tracking multiple objects using a GNN tracker
Camera Calibration	Objective: Remove lens distortion from images. Measure size of planar objects. Estimating intrinsic, extrinsic, and lens distortion parameters of a camera Visualizing the calibration error Removing lens distortion Measuring planar objects in real-world units

Guaranteed to Run

When you register for one of these courses, you can rely on the fact that it won't be canceled or rescheduled for any reason.

Course Schedule

Results 1 - 2 of 2

Dates	Location	Language	Price	Register
21 Apr 2020	Online 9:00 a.m. - 5:00 p.m. US Eastern Daylight Time	English	USD 750
15 Sep 2020	Online 9:00 a.m. - 5:00 p.m. US Eastern Daylight Time	English	USD 750

Results 1 - 2 of 2

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