Browsing Reprints by Subject "Bayesian statistical decision theory"
Now showing items 1-14 of 14
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Anomaly detection and tracking based on mean-reverting processes with unknown parameters
(CMRE, 2019/05)Piecewise mean-reverting stochastic processes have been recently proposed and validated as an effective model for long-term object prediction. In this paper, we exploit the Ornstein-Uhlenbeck (OU) dynamic model to represent ... -
Bayesian inference and sidescan restoration
(NATO. SACLANTCEN, 1997)We consider a Bayesian approach to the problem of inferring parameters of the SONAR environment given only the gathered sidescan image. A simplified model of the process is developed along with suitable distributions on ... -
Bayesian multi-class covariance matrix filtering for adaptive environment learning
(CMRE, 2019/05)Covariance matrix estimation is a crucial task in adaptive signal processing applied to several surveillance systems, including radar and sonar. In this paper we propose a dynamic environment learning strategy to track ... -
Bayesian track-to-graph association for maritime traffic monitoring
(CMRE, 2019/05)We present a hypothesis test to associate ship track measurements to an edge of a given graph that statistically models common traffic routes in a given area of interest. The association algorithm is based on the hypothesis ... -
Converted measurements Bayesian extended target tracking applied to X-band marine radar data
(CMRE, 2019/06)X-band marine radar systems are flexible and low-cost tools for monitoring multiple targets in a surveillance area. They can provide high resolution measurements both in space and time. Such features offer the opportunity ... -
Data driven vessel trajectory forecasting using stochastic generative models
(2019/05)In this work, we propose a data driven trajectory forecasting algorithm that utilizes both recorded historical and streaming trajectory observations. The algorithm performs Bayesian inference on a directed graph the walks ... -
Dissecting uncertainty-based fusion techniques for maritime anomaly detection
(CMRE, 2019/06)Detecting and classifying anomalies for Maritime Situation Awareness gets a lot of benefit from the combination of multiple sources, correlating their output for detecting inconsistencies in vessels' behaviour. Adequate ... -
Heterogeneous information fusion for multitarget tracking using the sum-product algorithm
(CMRE, 2019/06)The sum-product algorithm (SPA) was recently shown to provide a scalable methodology for multitarget tracking (MTT) using multiple sensors. Here, we focus on another advantage of the SPA frame-work, namely, its capacity ... -
Multiple Bayesian extended target tracking
(CMRE, 2019/06)To track an extended target presents challenges because the hypothesis of "one target means one detection" is not valid. Several approaches to extended target tracking (ETT) have been found promising, and in particular ... -
Multiple sensor Bayesian extended target tracking fusion approaches using random matrices
(CMRE, 2019/06)The tracking of extended targets is attracting a growing literature thanks to the high resolution of several modern radar systems. A fully Bayesian solution has been proposed in the random matrix framework. In this paper, ... -
Multisensor adaptive Bayesian tracking under time-varying target detection probability
(CMRE, 2019/06)In practical tracking applications, the target detection performance may be unknown and also change rapidly in time. This work considers a network of sensors and develops a target-tracking procedure able to adapt and react ... -
Online estimation of unknown parameters in multisensor-multitarget tracking: a belief propagation approach
(CMRE, 2019/05)We propose a Bayesian multisensor-multitarget tracking framework, which adapts to randomly changing conditions by continually estimating unknown model parameters along with the target states. The time-evolution of the model ... -
Scalable adaptive multitarget tracking using multiple sensors
(CMRE, 2019/06)In networked mobile multitarget tracking systems, parameters such as detection probabilities, clutter rates, and motion model parameters are often unknown and time-varying. Such parameter variability can seriously degrade ... -
Semantic criteria for the assessment of uncertainty handling fusion models
(CMRE, 2019/06)This paper proposes an illustration of the Uncertainty Representation and Reasoning Evaluation Framework (URREF) for the comparison of two classical fusion schemes. We revisit the classical works comparing Bayes' rule and ...
