Situation-aware technologies enabled by multitarget tracking will lead to new services and
applications in fields such as autonomous driving, indoor localization, robotic networks, and …

In several multitarget tracking applications, a target may return more than one measurement
per target and interacting targets may return multiple merged measurements between …

Performance evaluation of multi-target tracking algorithms is of great practical importance in
the design, parameter optimization and comparison of tracking systems. The goal of …

Situation-aware technologies enabled by multitarget tracking algorithms will create new
services and applications in emerging fields such as autonomous navigation and maritime …

When a major-league outfielder runs down a long fly ball, the tracking of a moving object
looks easy Over a distance of a few hundred feet, the fielder calculates the ball's trajec? tory …

This work addresses the problem of tracking multiple moving targets by recursively
estimating the joint multitarget probability density (JMPD). Estimation of the JMPD is done in …

This paper presents Markov chain Monte Carlo data association (MCMCDA) for solving data
association problems arising in multitarget tracking in a cluttered environment. When the …

Typical multitarget tracking systems assume that in every scan there is at most one
measurement for each target. In certain other systems such as over-the-horizon radar …

Most conventional target tracking algorithms assume that a target can generate at most one
measurement per scan. However, there are tracking problems where this assumption is not …

Multiobject tracking provides situational awareness that enables new applications for
modern convenience, public safety, and homeland security. This paper presents a factor …