Search for dissertations about: "Particle filters"
Showing result 11 - 15 of 74 swedish dissertations containing the words Particle filters.
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11. Robust Visual Object Tracking mean shift, particle filters and point features
Abstract : Visual object tracking has been identified as a promising technique for many computer vision applications like surveillance, flight navigation, video compression and driver assistance. The main idea is to find the state ofthe object and how it changes over time, in recursive video frames. READ MORE
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12. On the Agglomeration of Particles in Exhaust Gases
Abstract : Particulate emissions from road transportation are known to have an adverse impact on human health as well the environment. As the effects become more palpable, stricter legislation have been proposed by regulating bodies. READ MORE
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13. Removal of ultrafine particles by intermediate air filters in ventilation systems. Evaluation of performance and analysis of applications
Abstract : Epidemiological and toxicological studies demonstrate that ultrafine particles (UFPs) are strongly related with respiratory and cardiovascular diseases and syndromes. One common method to reduce human exposure to particulate air pollution is the use of intermediate class filters (F5-F9 class filters according to EN779:2002). READ MORE
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14. Sequential Monte Carlo Filters and Integrated Navigation
Abstract : In this thesis we consider recursive Bayesian estimation in general, and sequential Monte Carlo filters in particular, applied to integrated navigation. Based on a large number of simulations of the model, the sequential Monte Carlo filter, also referred to as particle filter, provides an empirical estimate of the full posterior probability density of the system. READ MORE
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15. Rao-Blackwellised particle methods for inference and identification
Abstract : We consider the two related problems of state inference in nonlinear dynamical systems and nonlinear system identification. More precisely, based on noisy observations from some (in general) nonlinear and/or non-Gaussian dynamical system, we seek to estimate the system state as well as possible unknown static parameters of the system. READ MORE