Search Results - (( motion estimation using algorithm ) OR ( (parameter OR parameters) estimation based algorithm ))
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1
Block based motion vector estimation using fuhs16 uhds16 and uhds8 algorithms for video sequence
Published 2011“…There are several block-matching algorithm based on block-based motion estimation techniques have been developed. …”
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Book Chapter -
2
SLOW DRIFT MOTIONS IDENTIFICATION OF FLOATING STRUCTURES USING TIME-VARYING INPUT -OUTPUT MODELS
Published 2015“…The first step is presenting the backward estimator and combined forward-backward estimator instead of the only forward estimator in the original input-output models; the second step is reformulating the input-output models into a state-space model so that the Kalman Smoother (KS) adaptive filter can be used to estimate the model coefficients; the third step is optimization of KS parameters using evolutionary computing algorithms such as Particle Swarm Optimization (PSO), Genetic Algorithm (GA) and Artificial Bee Colony (ABC) to form the PSO-KS, GA-KS and ABC-KS as estimation methods.…”
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Thesis -
3
Restoration of blurred images using geometric and chebichef moments / Ahlad Kumar
Published 2016“…Once the blur parameters are estimated, image restoration of the proposed method is carried out using split Bregman algorithm. …”
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Thesis -
4
Parameter estimation of stochastic differential equation
Published 2012“…The results showed that the Mean Square Errors (MSE) for stochastic model with parameters estimated using optimal knot for 1,000, 5,000 and 10,000 runs of Brownian motions are smaller than the SDE models with estimated parameters using knot selected heuristically. …”
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Article -
5
Extract Motion from Picture Sequence
Published 2008“…Based on the assumption of the observed brightness (intensity) of any object point is constant over time interval and the movement is small, optical flow equation (OFE) is derived and used in algorithm to calculate optical flow for a particular motion. …”
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Final Year Project -
6
Relative motion guidance, navigation and control for autonomous spacecraft rendezvous
Published 2011“…The corresponding measurement models, process noise matrix and other filter parameters are provided. The guidance and control algorithms are based on the glideslope used in the past for rendezvous and proximity operations of the Space Shuttle with other vehicles. …”
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Proceeding Paper -
7
Modeling financial environments using geometric fractional Brownian motion model with long memory stochastic volatility
Published 2018“…Therefore, this research develops a new GFBM model that can better describe and reflect real life situations particularly in financial scenario. All parameters involved in the developed model are estimated by using innovation algorithm. …”
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Thesis -
8
Vibration-based structural damage detection and system identification using wavelet multiresolution analysis / Seyed Alireza Ravanfar
Published 2017“…In addition, the structural parameters of a system can be accurately estimated through the proposed system identification methods for both cases of linear and nonlinear conditions. …”
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Thesis -
9
Crowd behavior monitoring using self-adaptive social force model
Published 2019“…This work aims to develop a crowd behavior monitoring system using Self-Adaptive SFM. This algorithm is jointly used with Horn-Schunck optical flow as a motion detector for the input video. …”
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Article -
10
REGION-BASED ADAPTIVE DISTRIBUTED VIDEO CODING CODEC
Published 2011“…The practical application of DVC is referred to as Wyner-Ziv video coding (WZ) where an estimate of the original frame called "side information" is generated using motion compensation at the decoder. …”
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Thesis -
11
Adaptive template matching of photoplethysmogram pulses to detect motion artefact
Published 2018“…The developed algorithm was evaluated against a manually annotated 'gold standard' (GS). …”
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Article -
12
Fiducial registration error as a statistical process control metric in image-guidance radiotherapy with fiducial markers
Published 2011“…A procedure for estimating control parameters of a SPC control chart (x-chart) from a small number of initial observations (N) of FRE was implemented. …”
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Article -
13
Nonlinear Control Of Robot Manipulator Using Sliding Mode And Computed Torque Control Technique
Published 2015“…The objectives of this research are to study the linear Proportional, Integrator and Derivative (PID) control, nonlinear Computed Torque Control (CTC) and Sliding Mode Control (SMC), and the control algorithm was built using MATLAB Simulink block. The control algorithm of the PID, PIDCTC and SMCTC were implemented into the robot manipulator, where the controller parameters were determined within a prescribed range. …”
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Thesis -
14
Effect of LiDAR mounting parameters and speed on HDL graph SLAM-Based 3D mapping for autonomous vehicles
Published 2025“…While 3D mapping is foundational for reliable AV navigation, its accuracy is often compromised by poor LiDAR sensor calibration and external factors such as motion distortion. This study investigates the physical calibration of a LiDAR sensor mounted on a moving vehicle and its effect on 3D map generation using the HDL Graph SLAM algorithm. …”
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Article -
15
Semiparametric inference procedure for the accelarated failure time model with interval-censored data
Published 2019“…A computationally simple two-step iterative algorithm, called estimationapproximation algorithm, is introduced for estimating the parameters of the model on the basis of the rank estimators. …”
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Thesis -
16
Utilizing P-Type ILA in tuning Hybrid PID Controller for Double Link Flexible Robotic Manipulator
Published 2018“…The research utilized DLFRM modeling based on NARX model structure estimated by neural network. …”
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Proceeding -
17
Utilizing P-Type ILA in tuning Hybrid PID Controller for Double Link Flexible Robotic Manipulator
Published 2018“…The research utilized DLFRM modeling based on NARX model structure estimated by neural network. …”
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Proceeding -
18
A comprehensive analysis of surface electromyography for control of lower limb exoskeleton
Published 2016“…A parametric model based on Hill Muscle Model (HMM) to estimate the knee joint moment is developed for both experiments protocols. …”
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Thesis -
19
An improved scatter search algorithm for parameter estimation in large-scale kinetic models of biochemical systems
Published 2019“…Methods: This paper proposes an improved scatter search algorithm to address the challenging parameter estimation problem. …”
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Article -
20
An Improved Scatter Search Algorithm for Parameter Estimation in Large-Scale Kinetic Models of Biochemical Systems
Published 2019“…Methods: This paper proposes an improved scatter search algorithm to address the challenging parameter estimation problem. …”
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