Search for dissertations about: "tracking"
Showing result 6 - 10 of 960 swedish dissertations containing the word tracking.
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6. Conjugate priors for Bayesian object tracking
Abstract : Object tracking refers to the problem of using noisy sensor measurements to determine the location and characteristics of objects of interest in clutter. Nowadays, object tracking has found applications in numerous research venues as well as application areas, including air traffic control, maritime navigation, remote sensing, intelligent video surveillance, and more recently environmental perception, which is a key enabling technology in autonomous vehicles. READ MORE
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7. Counting and Tracking : Development and Use of New Methods for Detailed Analysis of Thrombus Formation
Abstract : Blood platelets are a part of the complex system called haemostasis aimed at ensuring our blood’s continuous transport of oxygen and nutrients throughout the body. The transport is ensured by limiting blood loss due to vessel injury and in this process, the platelets form a plug in the damaged area, reinforced by the formation of fibrin. READ MORE
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8. Position Estimation and Tracking in Colloidal Particle Microscopy
Abstract : This thesis presents methods for estimating the locations (including depth) of spherical colloidal particles in images recorded in video microscopy. Understanding the behavior of colloidal interactions and diffusion is of crucial importance in a vast number of areas. READ MORE
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9. Multiple Model Filtering and Data Association with Application to Ground Target Tracking
Abstract : This thesis is concerned with two central parts of a tracking system, namely multiple-model filtering and data association. Multiple models are introduced to provide accurate filtering, whereas data association deals with the unknown origin of the received measurements. READ MORE
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10. Nonparametric Message Passing Methods for Cooperative Localization and Tracking
Abstract : The objective of this thesis is the development of cooperative localization and tracking algorithms using nonparametric message passing techniques. In contrast to the most well-known techniques, the goal is to estimate the posterior probability density function (PDF) of the position of each sensor. READ MORE