multi-object-tracker-ebook-banner.jpg

Multi-Object Tracking for Autonomous

Systems and Surveillance Systems

Multi-object trackers are used to provide situational awareness in autonomous systems and surveillance systems. Read this ebook to learn:

  • The components of a multi-object tracker, including tracking filters, data association, and track maintenance

  • Some challenges that multi-object trackers face in real-world scenarios

  • How to track a single object by estimating state with an interacting multiple model (IMM) filter

  • Why the IMM filter may be a better tracking algorithm than a single model Kalman filter for maneuvering objects

You’ll also receive examples and videos on object tracking

ico-trial-custom-64.png

30-Day Free Software Trial

Try MATLAB for your next predictive maintenance project.

 

Get Started