Zobrazeno 1 - 10
of 94
pro vyhledávání: '"Darko Musicki"'
Kalman filter, particle filter, IMM, PDA, ITS, random sets... The number of useful object-tracking methods is exploding. But how are they related? How do they help track everything from aircraft, missiles and extra-terrestrial objects to people and l
Publikováno v:
IET Radar, Sonar & Navigation. 9:1063-1069
In a typical surveillance situation the number and the trajectories of targets are a priori unknown. Each measurement has an unknown source; either clutter, a target being tracked or a new target. The tracks are initialised and updated using measurem
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. 51:962-974
Joint integrated probabilistic data association (JIPDA) is effective in automatic multitarget tracking in an environment of false and missing measurements. However, JIPDA suffers from coalescence of closely spaced tracks. This paper develops a coales
Publikováno v:
IET Radar, Sonar & Navigation. 9:241-248
Local tracking in clutter initialises and updates true and false tracks. Local false track discrimination uses a track quality measure to confirm most of the true tracks, and to terminate most of the false tracks. Confirmed tracks are transmitted for
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. 51:642-653
In situations with a significant number of targets in mutual proximity (close to each other), optimal multitarget data association approach suffers from the numerical explosion. This severely limits the applicability, i.e., the number of close target
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. 51:654-668
We consider target tracking using a network of sensors, where some (or all) sensors may be nonlinear or even nonobservable.With nonlinear/nonobservable sensors we may locally track the measurement state. We show that increasing the local measurement
Publikováno v:
IET Radar, Sonar & Navigation. 9:10-18
Target tracking determines the number and the trajectories of targets in the surveillance area. The sensors provide an imperfect target detection and measurement environment, complicated by clutter measurements. The vast majority of published target
Publikováno v:
IET Radar, Sonar & Navigation. 9:62-66
The authors extend the smoothing integrated probabilistic data association algorithm to multi-target tracking in clutter, or alternatively, use smoothing to improve the joint integrated probabilistic data association (JIPDA) algorithm. The prediction
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. 50:1798-1812
A majority of target tracking algorithms are derived assuming the infinite resolution sensor(s), where each measurement has only one source. This assumption is an approximation as the sensors (e.g., radars and sonars) have finite resolution, where cl
Publikováno v:
IEEE Transactions on Signal Processing. 61:4740-4752
This paper presents a fixed interval smoothing multi-scan algorithm for target tracking in clutter. Both the probability of target existence and the target trajectory probability density function are calculated using all available measurements. This