Title :
Tracking methods in a multitarget environment
Author :
Bar-Shalom, Yaakov
Author_Institution :
University of Connecticut, Storrs, CT, USA
fDate :
8/1/1978 12:00:00 AM
Abstract :
The objective of this paper is to survey and put in perspective the existing methods of tracking in multitarget environment. In such an environment the origin of the measurements can be uncertain: they could have come from the target(s) of interest or clutter or false alarms or be due to the background. This compact and unified presentation of the state-of-art in multitarget tracking was motivated by the recent surge of interest in this problem. It is also hoped to be useful in view of the need to adapt and modify existing techniques before using them for specific problems. Particular attention is paid to the assumptions underlying each algorithm and its applicability to various situations.
Keywords :
Bayes procedures; Linear systems, stochastic discrete-time; State estimation; Tracking; maximum-likelihood (ML) estimation; Laser radar; Measurement uncertainty; Noise measurement; Optical sensors; Particle measurements; Radar tracking; Sonar measurements; Surges; Target recognition; Target tracking;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.1978.1101790