Computer Vision with MATLAB

Learn to perform computer vision tasks in MATLAB and Computer Vision Toolbox

Complimentary Services: Post training email support & 1-hr consultation session within 1 month after the course completion!

TechSource Systems Pte Ltd

Course
Highlights

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
TechSource Systems Pte Ltd

Who Should
Attend

Engineers, researchers, scientist who are involved in development of computer vision applications.

TechSource Systems Pte Ltd

Course
Prerequisites

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

TechSource Systems Pte Ltd

Course
Benefits

Upon completion of the course, the participants will be able to use Computer Vision System Toolbox to:

  • detect specific objects
  • estimate motion of objects
  • track a single object or multiple objects
  • remove distortion and measure planar object size

Partners

TechSource Systems Pte Ltd
TechSource Systems Pte Ltd

TechSource Systems is MathWorks Authorised Reseller and Training Partner

Upcoming Program

  • Please keep me posted on the next schedule
  • Please contact me to arrange customized/ in-house training

Course Outline

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
TechSource Systems Pte Ltd
TechSource Systems Pte Ltd

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
TechSource Systems Pte Ltd
TechSource Systems Pte Ltd

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
TechSource Systems Pte Ltd
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