Multi-Object Tracking for Autonomous Systems and Surveillance Systems


Multi-object trackers are used to provide situational awareness in autonomous systems and surveillance systems.


Do you want to have a solid understanding of how multi-object trackers contribute to the success of autonomous systems and surveillance systems?

Complete the form to get the free eBook
Explore our solutions on Robotics and Autonomous 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

Free Demo

30-Day Trial 

Develop Robotics and Autonomous Systems project with MATLAB, Simulink, and a full set of products for Deep Learning.

Download Trial