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Publication Metadata only Frame reconstruction by double motion estimation of affine parameters(2010-12-01) Saranta Ponla; Supatana Auethavekiat; Sukanya Phongsuphap; Mahidol University; Chulalongkorn UniversityIn video frame rate conversion, unavailable frames are reconstructed from existing frames based on interpolated motion vectors. Due to an error in estimating motion vectors and an occlusion effect, it is possible that intensity information... is not provided to every pixel in the reconstructed frame. Pixels whose intensity is missing become holes in the reconstructed frame. This paper proposes the reconstruction without distinct holes by double motion vector estimation. Motion is described by affinePublication Metadata only Motion control applications: Observer based DC motor parameters estimation for novices(2019-03-01) Branesh M. Pillai; Jackrit Suthakorn; Mahidol University© 2019 Institute of Advanced Engineering and Science. All rights reserved. Estimation of motor inertia and friction components is a complex and challenging task in motion control applications where small size DC motors (<100W) are used for precise... moment of inertia, torque coefficient and frictional components using the Disturbance Observer (DOB) as a torque sensor. The constant velocity motion test and a novel Reverse Motion Acceleration test were conducted to estimate frictional componentsItem Metadata only Approximation method for interpolating affine parameters in doubling frame rate(2009) Saranta Ponla; Supatana Auethavekiat; Sukanya Phongsuphap; Mahidol University. Faculty of Information and communication technologyThe quality of the frame rate up-conversion depends on the accuracy of the motion parameters. 2D affine model describes the motion better than the popular 2D translation model; however, its parameters are difficult to interpolate. In this paper... rotational parameters. Conventional linear interpolation is applied to interpolate translational parameters. For video sequences containing complex motion, the reconstruction from the approximated affine parameters gave higher PSNR and visually better resultPublication Metadata only A bayesian reconstruction method with marginalized uncertainty model for camera motion in microrotation imaging(2010-07-01) Danai Laksameethanasan; Sami S. Brandt; Aalto University; Mahidol University; Oulun Yliopisto. These parameters can be estimated using, for instance, the conventional correlation alignment and feature-based methods. However, the alignment methods are not perfect, where the inaccuracy of the estimated motion parameters causes artifacts in the reconstruction... of the motion estimates. © 2006 IEEE.Item Metadata only Clinical Evaluation of Scout Accelerated Motion Estimation and Reduction (SAMER) Motion-Corrected 2D T2-Weighted TSE 3T Brain MRI in the Neurologic Intensive Care Unit(2026-04-02) Hajati A.; Chiang C.H.; Buathong S.; Tabari A.; Yee S.; Polak D.; Splitthoff D.N.; Clifford B.; Lo W.C.; Huang Y.; Cauley S.F.; Conklin J.M.; Huang S.Y.; Hajati A.; Mahidol UniversityBACKGROUND AND PURPOSE: Patient motion remains a major source of image degradation in clinical MRI, particularly in acute and inpatient settings. We evaluated the clinical effectiveness of the Scout Accelerated Motion Estimation and Reduction (SAMER...) method for retrospective motion correction in axial 2D T2-weighted TSE brain MRI, particularly in emergency and inpatient neurologic settings, where patient motion commonly degrades image quality. MATERIALS AND METHODS: This prospective single-centerPublication Metadata only Fall motion detection with fall severity level estimation by mining kinect 3D data stream(2018-05-01) Orasa Patsadu; Bunthit Watanapa; Piyapat Dajpratham; Chakarida Nukoolkit; King Mongkuts University of Technology; Mahidol University© 2018, Zarka Private University. All rights reserved. This paper proposes an integrative model of fall motion detection and fall severity level estimation. For the fall motion detection, a continuous stream of data representing time sequentialItem Metadata only Measurement of Tongue Motion using Optical Flows on Segmented Areas(2022-01-01) Kusakunniran W.; Aukkapinyo K.; Borwarnginnn P.; Imaromkul T.; Thongkanchorn K.; Wattanadhirach D.; Mongkolluksamee S.; Thammasudjarit R.; Ritthipravat P.; Tuakta P.; Benjapornlert P.; Mahidol UniversityA trajectory of the tongue has several benefits in various domains such as articulatory and medical. It allows a user to analyze human speech or diagnose anomaly tongue movement of patients. This research focuses on estimating tongue motion. Most... existing solutions apply traditional image processing techniques to a sequence of images to compute motion. Although they can precisely estimate a tongue motion, there are drawbacks to practicality and scalability. It is because of the high cost of medicalPublication Metadata only The ranges of uncertainty among the use of NGA-west1 and NGA-west 2 ground motion prediction equations(2019-01-01) Teraphan Ornthammarath; Pennung Warnitchai; Mahidol University; Asian Institute of Technology Thailand© Springer International Publishing AG, part of Springer Nature 2019. In this study, a comparison of the use of NGA-West1 and NGA-West2 ground motion prediction equations (GMPEs) to estimate peak ground acceleration (PGA) and spectral acceleration... (SA) at 1.0 s for moderate to high seismic hazard area have been presented. This paper focuses on updated estimated ground motion due to the use of NGA-West2, and their impact on the hazard map related to those estimated by NGA-West1 for two citiesItem Metadata only Hybrid Image-Based Motion Tracking and Adaptive Polynomial Kalman Filter for a Bio-Inspired Dual-Sheath Needle System(2024-01-01) Sivaraman D.; Wiratkapun C.; Pillai B.M.; Suthakorn J.; Methachan B.; Nakdhamabhorn S.; Ongwattanakul S.; Sivaraman D.; Mahidol UniversityThis preliminary study investigated sensor-fusion methods for accurate motion estimation in a bio-inspired dual-sheath needle system designed for biopsy applications. The needle system draws inspiration from the segmented dual-sheath mechanism... tracking approach was used to achieve this, combining image-based tracking of the needle tip with an Inertial Measurement Unit (IMU) sensor for needle-base tracking. An Adaptive Polynomial Kalman Filter (APKF) was applied to improve the motion estimationPublication Metadata only Estimation the center of pressure with bi-planar postural stability model and neural network system(2016-02-04) Thunyanoot Prasertsakul; Warakorn Charoensuk; Mahidol University© 2015 IEEE. Postural stability is a necessary activity for human livings. To understand this behavioral function can perform by using instruments or clinical assessments. Motion analysis is a famous method to analyze the motion pattern in healthy...-dimension. The neural network model is used to estimate the position of center of pressure. The results from both systems indicate that these systems can be applied to estimate the position of center of pressure; however, the errors from mathematical models