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Object Tracking Using Hybrid Mean Shift & Particle Filter Algorithms

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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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Moving Object Tracking in Video Sequences

techniques deliberated and implemented in this book are Template Matching, Fast Mean Shift and Kalman Filter where as for object detection background;

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

This title concerns the use of a particle filter framework to track objects defined in high-dimensional state-spaces using high-dimensional;

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Video object Tracking

, and camera motion.The work carried out implements object tracking using mean shift based algorithm and feature based algorithm for an;

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Mean Field Simulation for Monte Carlo Integration

chain models, stochastic optimization, nonlinear filtering and multiple target tracking, stochastic optimization, calibration and uncertainty;

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Mean Field Simulation for Monte Carlo Integration

chain models, stochastic optimization, nonlinear filtering and multiple target tracking, stochastic optimization, calibration and uncertainty;

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Biomedical Image Analysis

In biological and medical imaging applications, tracking objects in motion is a critical task. This book describes the state-of-the-art;

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Partial Update Least-Square Adaptive Filtering

identification and channel equalization, two special applications of using partial update adaptive filters are also presented. One application uses PU;

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Partial Update Least-Square Adaptive Filtering

identification and channel equalization, two special applications of using partial update adaptive filters are also presented. One application uses PU;

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RSS-AoA-based Target Localization and Tracking in Wireless Sensor Networks

-of-the-art algorithms and research achievements in target localization and tracking based on hybrid (RSS-AoA) measurements. Technical topics;

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Data Fusion for WSN Using Probabilistic Method and Particle Filter

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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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Computing and Communication

classification using wavelet decomposition, performance evaluation of string algorithms, Multi Human Tracking and Adaptive Median Filter designing.;

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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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Object Tracking in Distributed Video Networks

of multi-dimensional object signatures. Object signatures are constructed from individual attributes extracted via video processing. The lack of a;

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Video Surveillance For Sensor Platforms

This book introduces resource aware image decomposition, registration, fusion, object detection and tracking algorithms along with their;

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Hybrid Algorithms, Techniques and Implementations of Fuzzy Logic

of fuzzy logic using hybrid algorithms.;

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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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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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Hybrid Metaheuristics for Image Analysis

problems such as image segmentation, edge detection, face recognition, feature extraction, and image contrast enhancement can be solved using;

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Real Time Multi Object Detection and Tracking Using Deep Learning

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A Kalman Filter Primer

and methods for determining initial states, along with a comprehensive development of the diffuse Kalman filter. Using a tiered;

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A Kalman Filter Primer

and methods for determining initial states, along with a comprehensive development of the diffuse Kalman filter. Using a tiered;

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Advances in Swarm and Computational Intelligence

; evolutionary and genetic algorithms; differential evolution; brain storm optimization algorithm; biogeography based optimization; cuckoo search; hybrid;

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Advances in Swarm and Computational Intelligence

; evolutionary and genetic algorithms; differential evolution; brain storm optimization algorithm; biogeography based optimization; cuckoo search; hybrid;

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