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Object Tracking Using Hybrid Mean Shift & Particle Filter Algorithms

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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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Fundamentals of Object Tracking

Kalman filter, particle filter, IMM, PDA, ITS, random sets... The number of useful object-tracking methods is exploding. But how are they;

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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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Kalman Filtering Techniques for Radar Tracking

A review of effective radar tracking filter methods and their associated digital filtering algorithms. It examines newly developed systems;

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Programmering av trackingalgoritmer

This is an abstract yet practical guide to radar tracking and Kalman filtering. The text is invaluable for engineers, scientists, and;

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Grid-Based Nonlinear Estimation and Its Applications

Kalman filtering based estimation for nonlinear and uncertainty dynamic systems. The unscented Kalman filter, Gauss-Hermite quadrature filter;

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Grid-based Nonlinear Estimation and Its Applications

Kalman filtering based estimation for nonlinear and uncertainty dynamic systems. The unscented Kalman filter, Gauss-Hermite quadrature filter;

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An Introduction to the Extended Kalman Filter

position and velocity using single station antenna tracking data is proposed. Since the Kalman filter and its variants are widely used for;

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Moving Object Tracking in Video Sequences

This book is an inclusive introduction to object tracking hierarchy and object tracking techniques with their mathematical background;

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Continuous-Time Active Filter Design

This book presents the design of active RC filters in continuous time. Topics include: filter fundamentals active elements;

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Digital Filter Design using Python for Power Engineering Applications

This book is an in-depth description on how to design digital filters. The presentation is geared for practicing engineers, using open;

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Digital Filter Design using Python for Power Engineering Applications

This book is an in-depth description on how to design digital filters. The presentation is geared for practicing engineers, using open;

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Tracking Filter Engineering

-filters for Gauss-Newton. Of particular interest is a new approach to the tracking of manoeuvring targets that the Gauss-Newton filters make;

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Advances in Heuristic Signal Processing and Applications

techniques. The applications considered are in domains such as communications engineering, estimation and tracking, digital filter design, wireless;

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An Introduction to Kalman Filtering With Matlab Examples

The Kalman filter is the Bayesian optimum solution to the problem of sequentially estimating the states of a dynamical system in which the;

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Consensus Tracking of Multi-agent Systems with Switching Topologies

Consensus Tracking of Multi-agent Systems with Switching Topologies takes an advanced look at the development of multi-agent systems with;

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Online Visual Tracking

deep networks are presented. In turn, Chapters 8 and 9 introduce the cutting-edge tracking methods based on correlation filter and deep;

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Latency and Distortion of Electromagnetic Trackers for Augmented Reality Systems

phase of our study we presented a novel method of tracking angular head velocity from quaternion orientation using an Extended Kalman Filter;

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Fundamentals of Kalman Filtering

Prize -- for the development and dissemination of the optimal digital technique (known as the Kalman Filter) that is pervasively used to control;

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Bayesian Estimation and Tracking

-by-step instructions for each method that makes coding of the tracking filter simple and easy to understand. Case studies are employed to;

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Tracking and positional accuracies of GPS integrated in rockets

relating to PLL, DLL, GPS, DGPS, atmospheric models and extended Kalman filter. Next, tracking capabilities of the loops and the changes required;

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Digital Signal Processing

such as z-transforms, filter approximations, digital filters (both IIR & FIR), discrete Fourier transforms (DFTs), fast Fourier transforms;

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Nonlinear Systems Tracking

Tracking is the goal of control of any object, plant, process, or vehicle. From vehicles and missiles to power plants, tracking;

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Nonlinear Systems Tracking

Tracking is the goal of control of any object, plant, process, or vehicle. From vehicles and missiles to power plants, tracking;

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Analyzing Video Sequences of Multiple Humans

Analyzing Video Sequences of Multiple Humans: Tracking, Posture Estimation and Behavior Recognition describes some computer vision-based;

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Advances in Engineering Research

main maximum power point tracking (MPPT) algorithms and evaluates some of them through a MatLab/Simulink (R) platform. Chapter Three discusses;

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