Parçacık süzgeci için Metropolis yeniden örnekleme yönteminin grafik işleme biriminde gerçekleştirimi

Dülger, Özcan
Demirekler, Mübeccel
Oğuztüzün, Mehmet Halit S.
4. Ulusal Yüksek Başarımlı Hesaplama Konferansı, 1 - 02 Ekim 2015


Parallel resampling methods for particle filters on graphics processing unit
Dülger, Özcan; Oğuztüzün, Mehmet Halit S.; Department of Computer Engineering (2017)
This thesis addresses the implementation of the resampling stage of the particle filter on graphics processing unit (GPU). Some of the well-known sequential resampling methods are the Multinomial, Stratified and Systematic resampling. They have dependency in their loop structure which impedes their parallel implementation. Although such impediments were overcome on their GPU implementation, these algorithms suffer from numerical instability due to the accumulation of rounding errors when single precision is...
Parçacık Süzgeci ile Doğrusal olmayan Modellerde Gauss Gürültüsü Parametreleri Kestirimi
Özkan, Emre (2011-04-22)
Particle filters, which has been designed to find a solution to the problem of state estimation in highly nonlinear systems has been applied to many areas where Kalman filter or its variant are not successful. The success of particle filters also relies on prior knowledge of the model parameters. But in many applications it might not be easy to know or guess the all parameters of the model priori. In this study, it is aimed to make the particle filter adaptive by estimating the unknown noise parameters in B...
A Study on particle filter based audio-visual face tracking on the AV16.3 dataset
Yılmaz, Yunus Emre; Saranlı, Afşar; Department of Electrical and Electronics Engineering (2016)
People tracking has received considerable attention as a research field recently. Since, there are a wide range of application areas that requires to track single or multi target people in different environments with various scenarios using a variety of sensors. In this kind of tracking scenarios, usage of audio and visual information together is commonly preferred method, because these cues are mostly exist in the tracking environment and they contain complementary information about the targets. Our work f...
Particle methods for bayesian multi-object tracking and parameter estimation
Özkan, Emre; Demirekler, Mübeccel; Department of Electrical and Electronics Engineering (2009)
In this thesis a number of improvements have been established for specific methods which utilize sequential Monte Carlo (SMC), aka. Particle filtering (PF) techniques. The first problem is the Bayesian multi-target tracking (MTT) problem for which we propose the use of non-parametric Bayesian models that are based on time varying extension of Dirichlet process (DP) models. The second problem studied in this thesis is an important application area for the proposed DP based MTT method; the tracking of vocal t...
Pressure field estimation from particle image velocimetry data
Günaydınoğlu, Erkan; Kurtuluş, Dilek Funda; Department of Aerospace Engineering (2018)
In this thesis, a methodology is proposed to estimate pressure fields from particle image velocimetry measurements. The methodology uses the velocity fields acquired from the experiments as initial and boundary condition and employs Semi-Implicit Method for Pressure Linked Equations algorithm to solve governing equations. Finite volume method is employed with high order discretization scheme for solution of steady and transient flows. The methodology is validated with theoretical flows and further verified ...
Citation Formats
Ö. Dülger, M. Demirekler, and M. H. S. Oğuztüzün, “Parçacık süzgeci için Metropolis yeniden örnekleme yönteminin grafik işleme biriminde gerçekleştirimi,” presented at the 4. Ulusal Yüksek Başarımlı Hesaplama Konferansı, 1 - 02 Ekim 2015, Ankara, Türkiye, 2015, Accessed: 00, 2021. [Online]. Available: