Cooperative robotic networks for underwater surveillance: an overview
Underwater surveillance has traditionally been carried out by means of surface and
undersea manned vessels equipped with advanced sensor systems. This approach is often …
undersea manned vessels equipped with advanced sensor systems. This approach is often …
Performance evaluation metrics and approaches for target tracking: A survey
Performance evaluation (PE) plays a key role in the design and validation of any target-
tracking algorithms. In fact, it is often closely related to the definition and derivation of the …
tracking algorithms. In fact, it is often closely related to the definition and derivation of the …
Multitarget tracking with multiple models and visibility: Derivation and verification on maritime radar data
In this article, we demonstrate how a variation of the joint integrated probabilistic data
association with interacting multiple models and a visibility state can be derived as a special …
association with interacting multiple models and a visibility state can be derived as a special …
Performance measures for multiple target tracking problems
AA Gorji, R Tharmarasa… - … on Information Fusion, 2011 - ieeexplore.ieee.org
Performance evaluation is one of the most important steps in any target tracking problem.
The objective of this paper is to present a brief review of different approaches available for …
The objective of this paper is to present a brief review of different approaches available for …
Comparison and analysis of recursive-RANSAC for multiple target tracking
PC Niedfeldt, K Ingersoll… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
In both simulated and real experiments, the recursive random sample consensus (R-
RANSAC) algorithm has shown promise as an efficient multiple target tracking (MTT) filter. In …
RANSAC) algorithm has shown promise as an efficient multiple target tracking (MTT) filter. In …
The multiple model CPHD tracker
R Georgescu, P Willett - IEEE Transactions on Signal …, 2012 - ieeexplore.ieee.org
The probability hypothesis density (PHD) is a practical approximation to the full Bayesian
multi-target filter. The cardinalized PHD (CPHD) filter was proposed to deal with the “target …
multi-target filter. The cardinalized PHD (CPHD) filter was proposed to deal with the “target …
Track coalescence and repulsion: MHT, JPDA, and BP
Joint probabilistic data association (JPDA) and multiple hypothesis tracking (MHT)
introduced in the 70s, are still widely used methods for multitarget tracking (MTT). Extensive …
introduced in the 70s, are still widely used methods for multitarget tracking (MTT). Extensive …
To coalesce or to repel? An analysis of MHT, JPDA, and belief propagation multitarget tracking methods
Joint probabilistic data association (JPDA) filter methods and multiple hypothesis tracking
(MHT) methods are widely used for multitarget tracking (MTT). However, they are known to …
(MHT) methods are widely used for multitarget tracking (MTT). However, they are known to …
The tacotron-based signal synthesis method for active sonar
The importance of active sonar is increasing due to the quieting of submarines and the
increase in maritime traffic. However, the multipath propagation of sound waves and the low …
increase in maritime traffic. However, the multipath propagation of sound waves and the low …
The GM-CPHD tracker applied to real and realistic multistatic sonar data sets
R Georgescu, P Willett - IEEE Journal of Oceanic Engineering, 2012 - ieeexplore.ieee.org
The Gaussian mixture-cardinalized probability hypothesis density (GM-CPHD) tracker was
applied to three real and simulated multistatic sonar data sets. The goal was to test the …
applied to three real and simulated multistatic sonar data sets. The goal was to test the …