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Tracking with Particle Filter for High-dimensional Observation and State Spaces

that considers the main bottleneck of particle filtering frameworks (high dimensional state spaces) for tracking in such difficult conditions.;

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Biomedical Image Analysis

applications. The book next covers the major probabilistic methods for tracking. Starting with the basic Bayesian model, we describe the Kalman filter;

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Object Tracking Using Hybrid Mean Shift & Particle Filter Algorithms

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Underwater Vehicles Design and Applications

-based, implemented on a low-inertia underwater vehicle for three-dimensional helical trajectory tracking. Control laws for collision avoidance;

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Fundamentals of Object Tracking

own tracking filters under their unique application constraints. The book concludes with a chapter on issues critical to successful;

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Observation and Control for Operator Semigroups

of observation and control operators for such semigroups is relatively more recent. These operators are needed to model the - teraction of a system with;

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State Estimation for Robotics

filter, sigmapoint and particle filters, robust estimation for outlier rejection, and continuous-time trajectory estimation and its connection to;

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Sequential Monte Carlo Methods for Nonlinear Discrete-Time Filtering

is non-Gaussian and, therefore, closed-form analytical expressions for the MMSE estimate are generally unavailable. We begin the notes with a;

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Radiation Sensors with 3D Electrodes

Centre for Particle Physics (CERN) for particle tracking in high energy physics. These sensors are the radiation hardest devices ever fabricated;

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Radiation Sensors with 3D Electrodes

Centre for Particle Physics (CERN) for particle tracking in high energy physics. These sensors are the radiation hardest devices ever;

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Gaseous Radiation Detectors

book provides a solid background for understanding the basic processes leading to the detection and tracking of charged particles, photons, and;

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Advances in Heuristic Signal Processing and Applications

There have been significant developments in the design and application of algorithms for both one-dimensional signal processing and;

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Stream-Tube Method

This book presents the stream-tube method (STM), a method offering computational means of dealing with the two- and three-dimensional;

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Gaseous Radiation Detectors

book provides a solid background for understanding the basic processes leading to the detection and tracking of charged particles, photons, and;

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Gaseous Radiation Detectors

book provides a solid background for understanding the basic processes leading to the detection and tracking of charged particles, photons, and;

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Two-Dimensional Systems

and filter design for multidimensional systems, especially multi-dimensional fuzzy systems, will find this book a useful resource as will;

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Two-Dimensional Systems

and filter design for multidimensional systems, especially multi-dimensional fuzzy systems, will find this book a useful resource as will;

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The implementation of the Gaussian filter for Dimensional Metrology

The implementation of the Gaussian filter for Dimensional Metrology is een boek van Michael Krystek;

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Tracking and positional accuracies of GPS integrated in rockets

Radar Systems are quite expensive for tracking mobile targets requiring high precision. In addition, if the target is experiencing high;

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Online Visual Tracking

improved, driven by the high demand in connection with real-world applications and the recent advances in machine learning. A large variety of new;

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Data Fusion for WSN Using Probabilistic Method and Particle Filter

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Bayesian Estimation and Tracking

Tracking addresses the gap in the field on both accounts, providing readers with a comprehensive overview of methods for estimating both linear and;

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Understanding High-Dimensional Spaces

High-dimensional spaces arise as a way of modelling datasets with many attributes. Such a dataset can be directly represented in a space;

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Classification, Parameter Estimation and State Estimation

representation and generalization software toolbox for PRTools5 * Machine learning applications for computer vision, with detailed discussions;

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Introduction to Ramsey Spaces (AM-174)

useful. Introduction to Ramsey Spaces presents in a systematic way a method for building higher-dimensional Ramsey spaces from basic one;

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Finite Elements

value problems of higher order and approaches for solving differential equations in high dimensional domains are explained for the benefit;

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Kalman Filtering Techniques for Radar Tracking

for eliminating the real-time execution of complete recursive Kalman filtering matrix equations that reduce tracking and update time. It also;

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