Search Results - (( motion evaluation method algorithm ) OR ( parameters variation method algorithm ))
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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 -
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Arbitrary Lagrangian-Eulerian form of flowfield dependent variation (ALE-ADV) method for moving boundary problems
Published 2015“…These parameters determine the implicitness of FDV method by evaluating local gradients of physical flow parameters, hence vary across the computational domain. …”
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Adaptive template matching of photoplethysmogram pulses to detect motion artefact
Published 2018“…Significance: The proposed method is simple and robust against individual variations in the PPG characteristics, thus making it suitable for a diverse range of datasets. …”
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Neural-tuned PID controller for Point-to-point (PTP) positioning system: model reference approach
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Working Paper -
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Neural-Tuned PID controller for Point-to-point (PTP) positioning system: model reference approach
Published 2009“…The effectiveness of the proposed method is evaluated experimentally in real time using an experimental rotary positioning system. …”
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Proceeding Paper -
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An evaluation of optical flow algorithms for crowd analytics in surveillance system
Published 2017“…This paper presents an overview of the optical flow methods that used mainly for pedestrian and crowd motion detection. …”
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Variable block based motion estimation using hexagon diamond full search algorithm (HDFSA) via block subtraction technique
Published 2015“…In the video and frame selection, pre-defined video which have different type of motion and size is used for the algorithm evaluation purpose. …”
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New Fast Block Matching Algorithm Using New Hybrid Search Pattern And Strategy To Improve Motion Estimation Process In Video Coding Technique
Published 2016“…Evaluation is based on the algorithm performances in terms of the search points needed to find the final motion vector, the Peak-Signal to Noise Ratio (PSNR) of the algorithms, and the runtime performance of algorithm simulations. …”
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Adapting robot kinematics for human-arm motion recognition
Published 2007“…This paper presents a novel method to the analysis of human-arm motion, in particular improving the efficiency of conventional motion recognition algorithms. …”
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Block based motion vector estimation using fuhs16 uhds16 and uhds8 algorithms for video sequence
Published 2011“…Block-matching algorithm is the most common technique applied in block-based motion estimation technique. …”
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Book Chapter -
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Design of low order quantitative feedback theory and H-infinity-based controllers using particle swarm optimisation for a pneumatic actuator system
Published 2010“…These algorithms are designed to achieve the robustness over a wide range of system parameters change and disturbances. …”
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Minimizing machining airtime motion with an ant colony algorithm
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Hybrid Control of A Quadrotor System Carrying Suspended Payload With Parameter Variations
Published 2025thesis::master thesis -
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A Metaheuristic Optimization Using Explosion Method On A Hybrid Pd2-Lqr Quadcopter Controller
Published 2021“…A comparative study with 8 well-known algorithms, PSO, ABC, GA, DE, MVO, MFO, FA, and STOA, was performed to evaluate the performance of the proposed algorithm. …”
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MotionSure: a cloud-based algorithm for detection of injected object in data in motion
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Proceeding Paper -
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Multilevel optimization for dense motion estimation
Published 2011“…We evaluated the performance of different optimization techniques developed in the context of optical flow computation with different variational models.In particular, based on truncated Newton methods (TN) that have been an effective approach for large-scale unconstrained optimization, we developed the use of efficient multilevel schemes for computing the optical flow.More precisely, we evaluated the performance of a standard unidirectional multilevel algorithm - called multiresolution optimization (MR/Opt), to a bidrectional multilevel algorithm - called full multigrid optimization (FMG/Opt).The FMG/Opt algorithm treats the coarse grid correction as an optimization search direction and eventually scales it using a line search. …”
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Depth frame loss concealment for wireless transmission utilising motion detection information
Published 2014“…The feasibility and performance of the proposed method based on motion detection error concealment is evaluated analytically by considering different packet and frame loss rates. …”
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