Search for dissertations about: "Parameter tracking"

Showing result 1 - 5 of 70 swedish dissertations containing the words Parameter tracking.

  2. 1. Model Based Coding : Initialization, Parameter Extraction and Evaluation

    Author : Zhengrong Yao; Haibo Li; Ralf Schäfer; Umeå universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Signalbehandling; Model-based coding; Motion estimation; Vision based tracking; Initialization; Analysis-by-Synthesis; Texture mapping; Active tracking.; Signalbehandling; Signal processing; Signalbehandling; Signal Processing; signalbehandling;

    Abstract : This thesis covers topics relevant to model-based coding. Model-based coding is a promising very low bit rate video coding technique. The idea behind this technique is to parameterize a talking head and to extract and transmit the parameters describing facial movements. At the receiver, the parameters are used to reconstruct the talking head. READ MORE

  4. 2. Stochastic Modeling for Video Object Tracking and Online Learning: manifolds and particle filters

    Author : Zulfiqar Hasan Khan; Chalmers tekniska högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; anisotropic mean shift; online learning of reference object; covariance tracking; consensus point feature correspondences; Bayesian tracking; Gabor features; Visual object tracking; Grassmann manifold.; Riemannian manifold; particle filters;

    Abstract : Classical visual object tracking techniques provide effective methods when parameters of the underlying process lie in a vector space. However, various parameter spaces commonly occurring in visual tracking violate this assumption. READ MORE

  5. 3. Recursive Bayesian Estimation : Navigation and Tracking Applications

    Author : Niclas Bergman; Fredrik Gustafsson; Lennart Ljung; Linköpings universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Target tracking; Autonomous aircraft navigation; Terrain navigation;

    Abstract : Recursive estimation deals with the problem of extracting information about parameters, or states, of a dynamical system in real time, given noisy measurements of the system output. Recursive estimation plays a central role in many applications of signal processing, system identification and automatic control. READ MORE

  6. 4. Parameter Estimation and Filtering Using Sparse Modeling

    Author : Ashkan Panahi; Chalmers tekniska högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; sparsity based tracking; Sparsity based techniques; off-grid effect; parameter estimation; continuous basis pursuit; compressed sensing;

    Abstract : Sparsity-based estimation techniques deal with the problem of retrieving a data vector from an undercomplete set of linear observations, when the data vector is known to have few nonzero elements with unknown positions. It is also known as the atomic decomposition problem, and has been carefully studied in the field of compressed sensing. READ MORE

  7. 5. Radar Signal Processing using Artificial Neural Networks

    Author : Alexander Karlsson; Magnus Jansson; Mikael Hämäläinen; Henrik Holter; Maria Sabrina Greco; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; artificial neural networks; classification; deep learning; detection; parameter estimation; radar; artificiella neuronnät; klassificering; djupinlärning; detektion; parameter estimering; radar; Electrical Engineering; Elektro- och systemteknik;

    Abstract : This thesis combines radar signal processing, with data driven artificial neuralnetwork (ANN) methods. Signal processing algorithms are often based on modelingassumptions of how the data was formed. In some cases, such models are sufficientfor designing good, or even optimal, solutions. READ MORE