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Egils Sviestins
Researcher at Saab AB
Publications - 11
Citations - 305
Egils Sviestins is an academic researcher from Saab AB. The author has contributed to research in topics: Particle filter & Tracking (particle physics). The author has an hindex of 7, co-authored 11 publications receiving 287 citations.
Papers
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Proceedings Article
Anomaly detection in sea traffic - A comparison of the Gaussian Mixture Model and the Kernel Density Estimator
TL;DR: This paper presents a first attempt to evaluate two previously proposed methods for statistical anomaly detection in sea traffic, namely the Gaussian Mixture Model and the adaptive Kernel Density Estimator, and indicates that KDE more accurately captures finer details of normal data.
Journal ArticleDOI
Mixed Labelling in Multitarget Particle Filtering
TL;DR: It is shown, using the theory of Markov chains, that the mixed labelling problem in a particle filter is inherently self-resolving and that the factors influencing this capability are the number of particles and thenumber of resampling steps.
Proceedings ArticleDOI
Rule-based situation assessment for sea surveillance
TL;DR: A rule based situation assessment system that utilizes both COTS and in-house software and is built upon an agent framework that speeds up development times, since it takes care of many of the infrastructural issues of such a communication intense application as this is.
Patent
Bias estimating method for a target tracking system
TL;DR: In this article, the authors proposed a method for automatic alignment in multi-sensor target tracking by linearizing components of the function around an approximate target position (normally obtained from the tracker) and around nominal bias errors.
Proceedings ArticleDOI
Particle filters for tracking closely spaced targets
TL;DR: This paper considers several algorithms for tracking closely spaced objects and concentrates on various particle filter implementations for mixed labelling problem.