Simultaneous detection and tracking of multiple objects in noisy and cluttered environment using maximum likelihood estimation framework

Abstract

We discuss a versatile framework for multiple target detection and tracking based on maximum likelihood estimation with expectation maximization and a cognitive theory called dynamic logic. In this contribution extend the framework to detection of moving objects in video sequences. The paper presents the theory and an example of detection and tracking using a real world video sequence.