Multi-Object Tracking for Autonomous Systems and Surveillance Systems

Multi-Object Tracking for Autonomous

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?

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

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