Particle methods for bayesian multi-object tracking and parameter estimation

Özkan, Emre
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 tract resonance frequencies of the speech signals. Lastly, we investigate SMC based parameter estimation problem of nonlinear non-Gaussian state space models in which we provide a performance improvement for the path density based methods by utilizing regularization techniques.


Frequency invariant beamforming and its application to wideband direction of arrival estimation
Babataş, Eren; Candan, Çağatay; Department of Electrical and Electronics Engineering (2008)
In this thesis the direction of arrival estimation of wideband signals using frequency invariant beamforming method is examined. The difficulty with the direction of arrival estimation of wideband signals is that it is not possible to obtain a single covariance matrix valid for the whole frequency spectrum of the signal. There are various methods proposed in the literature to overcome this difficulty. The common aim of all the methods is to obtain a composite covariance matrix for the overall band of the si...
A new feedback-based contention avoidance algorithm for optical burst switching networks
Toku, Hadi Alper; Schmidt, Şenan Ece; Department of Electrical and Electronics Engineering (2008)
In this thesis, a feedback-based contention avoidance technique based on weighted Dijkstra algorithm is proposed to address the contention avoidance problem for Optical Burst Switching networks. Optical Burst Switching (OBS) has been proposed as a promising technique to support high-bandwidth, bursty data traffic in the next-generation optical Internet. Nevertheless, there are still some challenging issues that need to be solved to achieve an effective implementation of OBS. Contention problem occurs when t...
Numerical implementation of magneto-acousto-electrical tomography (MAET) using a linear phased array transducer
GÖZÜ, Mehmet Soner; ZENGİN, Reyhan; Gençer, Nevzat Güneri (2018-02-01)
In this study, the performance and implementation of magneto-acousto-electrical tomography (MAET) is investigated using a linear phased array (LPA) transducer. The goal of MAET is to image the conductivity distribution in biological bodies. It uses the interaction between ultrasound and a static magnetic field to generate velocity current density distribution inside the body. The resultant voltage due to velocity current density is sensed by surface electrodes attached on the body. In this study, the theory...
FPGA implementation of graph cut method for real time stereo matching
Sağlık Özsaraç, Havva; Ünver, Baki Zafer; Ulusoy, İlkay; Department of Electrical and Electronics Engineering (2010)
The present graph cut methods cannot be used directly for real time stereo matching applications because of their recursive structure. Graph cut method is modified to change its recursive structure so that making it suitable for real time FPGA (Field Programmable Gate Array) implementation. The modified method is firstly tested by MATLAB on several data sets, and the results are compared with those of previous studies. Although the disparity results of the modified method are not better than other methods’,...
Sensorless vector control of induction motor based on flux and speed estimation
Ertuğrul, Barış Tuğrul; Ersak, Aydın; Department of Electrical and Electronics Engineering (2008)
The main focus of the study is the implementation of techniques regarding flux estimation and rotor speed estimation by the use of sensorless closed-loop observers. Within this framework, the information about the mathematical representation of the induction motor, pulse width modulation technique and flux oriented vector control techniques together with speed adaptive flux estimation a kind of sensorless closed loop estimation technique- and Kalman filters is given. With the comparison of sensorless closed...
Citation Formats
E. Özkan, “Particle methods for bayesian multi-object tracking and parameter estimation,” Ph.D. - Doctoral Program, Middle East Technical University, 2009.