Bibliografie tematiche / Analysis Motion

Letteratura scientifica selezionata sul tema "Analysis Motion"

Autore: Grafiati

Pubblicato: 15 giugno 2024

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Articoli di riviste sul tema "Analysis Motion":

Oh, Mujin, Taeoh Tak e Jiyeon LEE. "66847 Biomechanical Analysis of Steering Motion Using Motion Analysis Technique(Biomechanics)". Proceedings of the Asian Conference on Multibody Dynamics 2010.5 (2010): _66847–1_—_66847–7_. http://dx.doi.org/10.1299/jsmeacmd.2010.5._66847-1_.

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Iso, Toshiki. "Motion Locus Analysis to Detect Rotation". International Journal of Information and Electronics Engineering 7, n. 6 (novembre 2017): 147–51. http://dx.doi.org/10.18178/ijiee.2017.7.6.679.

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Hadian Jazi, Marjan, Alireza Bab-Hadiashar e Reza Hoseinnezhad. "Analytical Analysis of Motion Separability". Scientific World Journal 2013 (2013): 1–15. http://dx.doi.org/10.1155/2013/878417.

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Abstract (sommario):

Motion segmentation is an important task in computer vision and several practical approaches have already been developed. A common approach to motion segmentation is to use the optical flow and formulate the segmentation problem using a linear approximation of the brightness constancy constraints. Although there are numerous solutions to solve this problem and their accuracies and reliabilities have been studied, the exact definition of the segmentation problem, its theoretical feasibility and the conditions for successful motion segmentation are yet to be derived. This paper presents a simplified theoretical framework for the prediction of feasibility, of segmentation of a two-dimensional linear equation system. A statistical definition of a separable motion (structure) is presented and a relatively straightforward criterion for predicting the separability of two different motions in this framework is derived. The applicability of the proposed criterion for prediction of the existence of multiple motions in practice is examined using both synthetic and real image sequences. The prescribed separability criterion is useful in designing computer vision applications as it is solely based on the amount of relative motion and the scale of measurement noise.

Smith, S. G. T., J. Torkington, T. J. Brown, N. J. Taffinder e A. Darzi. "Motion analysis". Surgical Endoscopy 16, n. 4 (17 dicembre 2001): 640–45. http://dx.doi.org/10.1007/s004640080081.

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Wang, Ren Zuo, Shih Hung Chen, Bing Chang Lin, Chao Hsun Huang e Chung Yue Wang. "Nonlinear Analysis of the Motion Structures". Applied Mechanics and Materials 373-375 (agosto 2013): 90–94. http://dx.doi.org/10.4028/www.scientific.net/amm.373-375.90.

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In this paper, the nonlinear analysis of the motion structures is studied by using the vector form intrinsic finite element (VFIFE, V-5) method. The main object of this research is to develop an internal hinge of two ends of the plane frame element. In this study, the hinge function of frame element is used to compute the nonlinear dynamic responses of the motion structures. A fictitious reversed rigid body motion can be used to separate the rigid body motions and the pure deformations of the frame element. It is not requires any iteration or any parameters for the VFIFE method during computation process. Four examples illustrate the accuracy of the proposed procedures in computing large motions of a flying flexible structure.

Hanson, Robert B. "Statistical Analysis of Proper Motion Surveys". Symposium - International Astronomical Union 109 (1986): 43–45. http://dx.doi.org/10.1017/s0074180900076385.

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Proper motion surveys offer a great deal of data bearing on important astronomical problems such as stellar kinematics and the luminosity function in the solar neighborhood. Major obstacles to the full use of proper motions have long been posed by: (1) incompleteness of proper motion surveys, (2) proper motion bias in kinematic studies, and (3) the indirect approaches and kinematical assumptions needed in traditional luminosity studies.

Wang, Su, e Ji-Lin Zhou. "Analysis of near-separatrix motion in planetary systems". Proceedings of the International Astronomical Union 3, S249 (ottobre 2007): 491–98. http://dx.doi.org/10.1017/s1743921308017018.

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AbstractNear-separatrix motion is a kind of motion of two planets with their relative apsidal longitude near the boundary between libration and circulation. Observed multiple planetary systems seem to favor near-separatrix motions between neighboring planets. In this report, we study the probability that near-separatrix motion occurs with both the linear secular system and full three-body systems. We find that generally the ratio of near-separatrix motion is small unless the eccentricities of the two planets differ from each other by an order of magintude, or they are in mean motion resonance. To explore the dynamical procedures causing the near-separatrix motion, we suppose a modification to scattering model by adding a mass-accretion process during the protoplanet growth. Statistics on the modified scattering model indicate that the probability of the final planet pairs in near-separatrix motion is high (∼ 85%), which may explain the high occurrence of near-separatrix motions in observed planetary systems.

Dong, Ran, Dongsheng Cai e Soichiro Ikuno. "Motion Capture Data Analysis in the Instantaneous Frequency-Domain Using Hilbert-Huang Transform". Sensors 20, n. 22 (16 novembre 2020): 6534. http://dx.doi.org/10.3390/s20226534.

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Abstract (sommario):

Motion capture data are widely used in different research fields such as medical, entertainment, and industry. However, most motion researches using motion capture data are carried out in the time-domain. To understand human motion complexities, it is necessary to analyze motion data in the frequency-domain. In this paper, to analyze human motions, we present a framework to transform motions into the instantaneous frequency-domain using the Hilbert-Huang transform (HHT). The empirical mode decomposition (EMD) that is a part of HHT decomposes nonstationary and nonlinear signals captured from the real-world experiments into pseudo monochromatic signals, so-called intrinsic mode function (IMF). Our research reveals that the multivariate EMD can decompose complicated human motions into a finite number of nonlinear modes (IMFs) corresponding to distinct motion primitives. Analyzing these decomposed motions in Hilbert spectrum, motion characteristics can be extracted and visualized in instantaneous frequency-domain. For example, we apply our framework to (1) a jump motion, (2) a foot-injured gait, and (3) a golf swing motion.

Yang, Jonghyun, Jeongjun Park e Changwan Yu. "Accuracy Verification of 3D Motion Analysis System Using Smart-phone Monocular Camera". Korean Journal of Sport Science 32, n. 4 (31 dicembre 2021): 464–71. http://dx.doi.org/10.24985/kjss.2021.32.4.464.

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PURPOSE This study aimed to verify the accuracy of three-dimensional (3D) motion data produced through artificial intelligence-based user motion recognition technology with images obtained using a smartphone monocular camera. This was done to explore the possibility of developing an application that can improve the reliability of the measurement of physical activity performing motions and feedback provision.METHODS To check the accuracy of the artificial intelligence-based 3D motion analysis system that utilized a semi-supervised learning method, a commercialized 3D infrared motion analysis system measured and compared motions on three movement planes, motions with limited joint movement, and fast motions in a wide moving range.RESULTS The motions on the coronal and sagittal planes produced through the 3D motion analysis application showed very high measurement accuracy; however, the accuracy of the measurement of motions on the horizontal plane, which could not be measured directly with a camera, was relatively lower than that of the coronal and sagittal planes. Accuracy in measuring 3D motion was moderate in moving motions and low in motions with limited joint movement.CONCLUSIONS For the developed 3D motion analysis system to be used in online physical education, the types of physical activities included in the program should be comprehensively composed through the analysis of the content system of the physical education curriculum and the resultant physical activities.

Penna, Michael A. "Non-rigid motion analysis: Isometric motion". CVGIP: Image Understanding 56, n. 3 (novembre 1992): 366–80. http://dx.doi.org/10.1016/1049-9660(92)90048-8.

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Tesi sul tema "Analysis Motion":

Oztekin, Kaan. "Textured Motion Analysis". Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606795/index.pdf.

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Abstract (sommario):

Textured motion - generally known as dynamic or temporal texture - is a popular research area for synthesis, segmentation and recognition. Dynamic texture is a spatially repetitive, time-varying visual pattern that forms an image sequence with certain temporal stationarity. In dynamic texture, the notion of self-similarity central to conventional image texture is extended to the spatiotemporal domain. Dynamic textures are typically videos of processes, such as waves, smoke, fire, a flag blowing in the wind, a moving escalator, or a walking crowd. Creation of synthetic frames is a key issue especially for movie screen industry to enrich their scenes from a white screen into a shining reality. In robotics world, for example an autonomous vehicle must decide what is traversable terrain (e.g. grass) and what is not (e.g. water). This problem can be addressed by classifying portions of the image into a number of categories, for instance grass, dirt, bushes or water. If these parts are identifiable, then segmentation and recognition of these textures results with an efficient path planning for the autonomous vehicle. In this thesis, we aimed to characterize these textured motions like mentioned above. We tried to implement several known techniques and compared the results.

Jin, Ning. "Human motion analysis". Thesis, University of Surrey, 2007. http://epubs.surrey.ac.uk/804406/.

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MISHRA, OM. "HUMAN MOTION ANALYSIS". Thesis, DELHI TECHNOLOGICAL UNIVERSITY, 2020. http://dspace.dtu.ac.in:8080/jspui/handle/repository/18772.

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Human motion analysis in the video has its vast application. The recognition of the human action is the most prominent application of human motion analysis. In this research we analyzed different methodologies for modeling human action. We also discussed challenges and methodologies which are used to handle them. These methodologies are divided into two categories. One is global feature descriptor and other is local feature descriptors. The disadvantage of the global feature descriptor is that they can only give the shape information but fails to give motion information. The local feature descriptors are used to find out the motion information of the action video. The disadvantage is that it cannot give the shape or structure information of the action video. The hybrid descriptors are used to solve these problems but these descriptors suffer from high dimensionality features. In this research we proposed new feature descriptors which are capable to deal with these issues in the following manner: 1) We proposed a new local descriptor evaluated from the Finite Element Analysis for human action recognition. This local descriptor represents the distinctive human poses in the form of the stiffness matrix. This stiffness matrix gives the information of motion as well as shape change of the human body while performing an action. Initially, the human body is represented in the silhouette form. Most prominent points of the silhouette are then selected. This silhouette is discretized into several finite small triangle faces (elements) where the prominent points of the boundaries are the vertices of the triangles. The stiffness matrix of each triangle is then calculated. The feature vector representing the action video iii frame is constructed by combining all stiffness matrices of all possible triangles. These feature vectors are given to the Radial Basis Function-Support Vector Machine (RBF-SVM) classifier. The proposed method shows its superiority over other existing state-of-the-art methods on the challenging datasets Weizmann, KTH, Ballet, and IXMAS. 2) Background cluttering, appearance change due to variation in viewpoint and occlusion are the prominent hurdles that can reduce the recognition rate significantly. Methodologies based on Bag-of-visual-words are very popular because they do not require accurate background subtraction. But the main disadvantage with these methods is that they do not retain the geometrical structural information of the clusters that they form. As a result, they show intra-class mismatching. Furthermore, these methods are very sensitive to noise. Addition of noise in the cluster also results in the misclassification of the action. To overcome these problems we proposed a new approach based on modified Bag-of-visual-word. Proposed methodology retains the geometrical structural information of the cluster based on the calculation of contextual distance among the points of the cluster. Normally contextual distance based on Euclidean measure cannot deal with the noise but in the proposed methodology contextual distance is calculated on the basis of a difference between the contributions of cluster points to maintain its geometrical structure. Later directed graphs of all clusters are formed and these directed graphs are described by the Laplacian. Then the feature vectors representing Laplacian are fed to the Radial Basis Function based Support Vector Machine (RBF-SVM) classifier. iv 3) We also proposed a new feature descriptor to detect abnormality in a video captured for surveillance applications in real-time and also overcome the problem of the curse of dimensionality. To extract features related to any change in the video, non linear Gaussian fuzzy lattice functions have been applied on each frame of the video which results in the formation of fuzzy lattices. These fuzzy lattices have been expressed in the form of Schrödinger equation to find the kinetic energy involved corresponding to any change in the video. A number of the fuzzy lattice has been used as a dimension of the feature. It reduces the dimensionality significantly as compared to other state-of-the-art methods. Finally, the kinetic energy parameter is classified into normal and abnormal activities with the help of SVM-based classifier.

Wong, Wai-ning Kris. "Lumbar spinal motion analysis". Click to view the E-thesis via HKUTO, 2006. http://sunzi.lib.hku.hk/hkuto/record/B36611773.

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Wong, Wai-ning Kris, e 黃偉寧. "Lumbar spinal motion analysis". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B36611773.

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MORO, MATTEO. "Markerless Human Motion Analysis". Doctoral thesis, Università degli studi di Genova, 2022. http://hdl.handle.net/11567/1080400.

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Abstract (sommario):

Measuring and understanding human motion is crucial in several domains, ranging from neuroscience, to rehabilitation and sports biomechanics. Quantitative information about human motion is fundamental to study how our Central Nervous System controls and organizes movements to functionally evaluate motor performance and deficits. In the last decades, the research in this field has made considerable progress. State-of-the-art technologies that provide useful and accurate quantitative measures rely on marker-based systems. Unfortunately, markers are intrusive and their number and location must be determined a priori. Also, marker-based systems require expensive laboratory settings with several infrared cameras. This could modify the naturalness of a subject’s movements and induce discomfort. Last, but not less important, they are computationally expensive in time and space. Recent advances on markerless pose estimation based on computer vision and deep neural networks are opening the possibility of adopting efficient video-based methods for extracting movement information from RGB video data. In this contest, this thesis presents original contributions to the following objectives: (i) the implementation of a video-based markerless pipeline to quantitatively characterize human motion; (ii) the assessment of its accuracy if compared with a gold standard marker-based system; (iii) the application of the pipeline to different domains in order to verify its versatility, with a special focus on the characterization of the motion of preterm infants and on gait analysis. With the proposed approach we highlight that, starting only from RGB videos and leveraging computer vision and machine learning techniques, it is possible to extract reliable information characterizing human motion comparable to that obtained with gold standard marker-based systems.

Xiao, Zhidong. "Motion capture based motion analysis and motion synthesis for human-like character animation". Thesis, Bournemouth University, 2009. http://eprints.bournemouth.ac.uk/14590/.

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Motion capture technology is recognised as a standard tool in the computer animation pipeline. It provides detailed movement for animators; however, it also introduces problems and brings concerns for creating realistic and convincing motion for character animation. In this thesis, the post-processing techniques are investigated that result in realistic motion generation. Anumber of techniques are introduced that are able to improve the quality of generated motion from motion capture data, especially when integrating motion transitions from different motion clips. The presented motion data reconstruction technique is able to build convincing realistic transitions from existing motion database, and overcome the inconsistencies introduced by traditional motion blending techniques. It also provides a method for animators to re-use motion data more efficiently. Along with the development of motion data transition reconstruction, the motion capture data mapping technique was investigated for skeletal movement estimation. The per-frame based method provides animators with a real-time and accurate solution for a key post-processing technique. Although motion capture systems capture physically-based motion for character animation, no physical information is included in the motion capture data file. Using the knowledge of biomechanics and robotics, the relevant information for the captured performer are able to be abstracted and a mathematical-physical model are able to be constructed; such information is then applied for physics-based motion data correction whenever the motion data is edited.

Cheng, Xin. "Feature-based motion estimation and motion segmentation". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape7/PQDD_0016/MQ55493.pdf.

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Aksu, tIbrahim. "Performance analysis of image motion analysis algorithms". Thesis, Monterey, California. Naval Postgraduate School, 1991. http://hdl.handle.net/10945/28443.

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Pedersen, Emil Aasland. "Motion analysis of Semi-Submersible". Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for marin teknikk, 2012. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-19419.

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Abstract (sommario):

In this thesis the response variables (RAOs) of a semi submersible unit are inspected. Both operational and survival condition as well as a shallow draft are inspected. The survival condition is inspected with respect to an element analysis. And both operational- and shallow draft condition are case studies, where the operational condition is inspected for two different damage cases. The unit in question is a four column semi submersible, based on the GG5000 design. This is a relatively new design, and the first vessel to get this design is in its final engineering stage. Construction start is planned to be in August this year (2012). This unit will get the name COSLProspector and will be built in CIMC Yantai Raffles shipyard in China.The unit is symmetrical about the centre line and close to symmetrical about the vertical transverse plane, only pontoon tips are different. Because of this, no significant simplifications have been necessary in order to simplify the calculation due to computational time. Another reason for not doing any simplifications to the geometry is due to the fact that the results are desired to be the most realistic. However, to reduce computational time, only half the unit has been modelled due to symmetry about centre line.To find the appropriate element size for the mesh, an element analysis has been carried out. The results from this analysis resulted in a chosen element size of 2.5m. This element size both gives accurate results, and requires a relatively short computational time. The units’ resonance periods has been investigated, and verified by help of hand calculations and comparison with RAOs done by Global Maritime (2011). However not all the values were identical to each other, but many factors can influence on that result. The GM value was not changed in this thesis, but was in Global Maritime (2011), in addition the additional damping was in this thesis taken as 3% of critical damping, while in Global Maritime (2011), Morrison elements were taken into account. These factors, and perhaps a few shortenings are assumed to be the reason for the small difference in the responses, they are however small differences for most of the periods.Two damage cases have been modelled by flooding two different water ballast tanks. These damages will give an angle of list for the unit. Damage case 1 gives an angle of list of 13.18o with a rotation of heel axis of 7o forward. Damage case 2 gives a list angle of 11.68o with a rotation of the heel axis of 39o forward. An earlier study like this one is done by Henriksen (2011), found in Grenland Groups internal archive. AQWA does not give out the tilt angles in damage cases as this is not the main purpose of this program. Therefore, the list angles for the different cases have been obtained from the report done by Henriksen (2011). However, AQWA will be used to obtain the RAOs for both cases, as well as confirm floating equilibrium in such conditions.It is assumed that the tanks are completely emptied for air, and that seawater is filling the entire volume. A table showing the different tanks flooded and its weight with seawater is shown in table 1.UnitVolume [m3]Sea water weight [MT]BWT ST-2692.51709.82BWT ST-8616.83632.25Table 1: Weight of water for flooded tanksWhen it comes to the RAOs in the damage cases, they are very hard to read. This is mainly due to the fact that the motions in these cases are highly dependent on each other due to coupled motions. Due to an angle of list, the unit is no longer symmetric. As a consequence of this a RAO for a specific degree of freedom can no longer be read like it is only this degree of freedom which is affecting the responses, but one or more of the other degrees of freedom are strongly influencing. This makes some of the peaks appear where not normally expected.It is also noticeable that the highest motions are encountered for damage case 1, which is natural because this case has the highest list angle. The resonance periods are lower in the damage cases compared to the normal operational condition, however not to a degree which is dangerously low. The lowest resonance period is still in heave.From the RAOs in the shallow draft case, it can be noticed that the highest responses in heave are encountered for the shallow condition (14.5m) compared to the survival condition (15.5m) and operational condition (17.5m), however only up to about 18s, where after that it has the smallest response, and the operational condition has the highest.In roll and pitch the trends are fairly similar. The graphs are a little uneven until the first cancellation period, and then the shallow draft gives a higher response until reaching the resonance period. In the resonance region, the operational condition has the highest response for both roll and pitch, same as for the heave.As a conclusion, the optimal approach in a situation where the unit is heavily tilted is to try to ballast the unit to an even keel. But of course risks of doing this are a possibility, such as slamming problems and the fact that the resonance periods will be shorter.

Più fonti

Libri sul tema "Analysis Motion":

Workshop, on Visual Motion (1989 Irvine Calif ). Proceedings: Analysis, motion. Washington, D.C: IEEE Computer Society Press, 1989.

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Z, Bober Miroslaw. Robust motion analysis. Baldock, Hertfordshire, England: Research Studies Press, 1999.

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Canada. Defence Research Establishment Atlantic. Ship Motion Analysis Program. S.l: s.n, 1986.

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Sun, Yan. High-Orders Motion Analysis. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-9191-4.

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Aksu, Ibrahim. Performance analysis of image motion analysis algorithms. Monterey, Calif: Naval Postgraduate School, 1991.

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Griffiths, Iwan W. Principles of biomechanics & motion analysis. Philadelphia: Lippincott Williams & Wilkins, 2006.

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Sarigianidis, Georgios. Motion analysis by constraint optimisation. Birmingham: University of Birmingham, 1994.

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Li, Ying. Motion Analysis of Soccer Ball. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8652-8.

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Mitiche, Amar. Computational Analysis of Visual Motion. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4757-9785-5.

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1942-, Soll David R., e Wessels Deborah, a cura di. Motion analysis of living cells. New York: Wiley-Liss, 1998.

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Capitoli di libri sul tema "Analysis Motion":

Perry, Jacquelin, e Judith M. Burnfield. "Motion Analysis". In Gait Analysis, 407–22. 2^a ed. Boca Raton: CRC Press, 2024. http://dx.doi.org/10.1201/9781003525592-26.

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Challis, John H. "Motion Analysis". In Experimental Methods in Biomechanics, 81–102. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52256-8_6.

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Sonka, Milan, Vaclav Hlavac e Roger Boyle. "Motion analysis". In Image Processing, Analysis and Machine Vision, 507–42. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4899-3216-7_14.

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Del Bimbo, Alberto, e Simone Santini. "Motion Analysis". In Human and Machine Vision, 199–221. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4899-1004-2_14.

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Distante, Arcangelo, e Cosimo Distante. "Motion Analysis". In Handbook of Image Processing and Computer Vision, 479–598. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42378-0_6.

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Zhang, Yu-Jin. "Motion Analysis". In A Selection of Image Analysis Techniques, 165–209. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/b23131-5.

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Pterneas, Vangos. "Motion Analysis". In Mastering the Microsoft Kinect, 191–216. Berkeley, CA: Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-8070-6_10.

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Zhang, Yu-Jin. "Motion Analysis". In Handbook of Image Engineering, 1127–64. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-5873-3_32.

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Min, Junghye, Jin Hyeong Park e Rangachar Kasturi. "Extraction of Multiple Motion Trajectories in Human Motion". In Image Analysis, 1050–57. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-45103-x_138.

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Lackie, John M., e Hansuli Keller. "Analysis of Leucocyte Shape Changes". In Biological Motion, 35–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-51664-1_3.

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Atti di convegni sul tema "Analysis Motion":

Zacharatos, Haris, Christos Gatzoulis, Yiorgos Chrysanthou e Andreas Aristidou. "Emotion Recognition for Exergames using Laban Movement Analysis". In Motion. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2522628.2522651.

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Wheatland, Nkenge, Sophie Jörg e Victor Zordan. "Automatic Hand-Over Animation using Principle Component Analysis". In Motion. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2522628.2522656.

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Schmeikal, Bernd. "On motion". In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2012: International Conference of Numerical Analysis and Applied Mathematics. AIP, 2012. http://dx.doi.org/10.1063/1.4756129.

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Sun, Yan, Jonathon S. Hare e Mark S. Nixon. "Analysing Acceleration for Motion Analysis". In 2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS). IEEE, 2017. http://dx.doi.org/10.1109/sitis.2017.56.

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Hijioka, Yuma, Makoto Murakami e Tadahiko Kimoto. "Motion Analysis for Cooking Motion Recognition". In 2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS). IEEE, 2016. http://dx.doi.org/10.1109/sitis.2016.93.

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Gibson, D. M. "Robust multi-frame motion estimation with motion compensated prediction applications". In IEE Colloquium on Motion Analysis and Tracking. IEE, 1999. http://dx.doi.org/10.1049/ic:19990582.

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Tsai, Joseph C., Tzu-Lin Wong, Hsing-Ying Zhong, Shih-Ming Chang e Timothy K. Shih. "Human Motion Analysis". In 2009 Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing. IEEE, 2009. http://dx.doi.org/10.1109/uic-atc.2009.107.

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Salari, Valiollah. "Sperm motion analysis". In Electronic Imaging '91, San Jose,CA, a cura di Alan C. Bovik e Vyvyan Howard. SPIE, 1991. http://dx.doi.org/10.1117/12.44301.

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Bober e Kittler. "Robust motion analysis". In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition. IEEE Comput. Soc. Press, 1994. http://dx.doi.org/10.1109/cvpr.1994.323931.

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Zhu, Ying, Cameron Detig, Steven Kane e Gary Lourie. "Kinematic Motion Analysis with Volumetric Motion Capture". In 2022 26th International Conference Information Visualisation (IV). IEEE, 2022. http://dx.doi.org/10.1109/iv56949.2022.00019.

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Rapporti di organizzazioni sul tema "Analysis Motion":

Nevatia, Ram. Motion Analysis and its Applications. Fort Belvoir, VA: Defense Technical Information Center, dicembre 1990. http://dx.doi.org/10.21236/ada232945.

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Mazzoni, Silvia, Nicholas Gregor, Linda Al Atik, Yousef Bozorgnia, David Welch e Gregory Deierlein. Probabilistic Seismic Hazard Analysis and Selecting and Scaling of Ground-Motion Records (PEER-CEA Project). Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, novembre 2020. http://dx.doi.org/10.55461/zjdn7385.

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Abstract (sommario):

This report is one of a series of reports documenting the methods and findings of a multi-year, multi-disciplinary project coordinated by the Pacific Earthquake Engineering Research Center (PEER) and funded by the California Earthquake Authority (CEA). The overall project is titled “Quantifying the Performance of Retrofit of Cripple Walls and Sill Anchorage in Single-Family Wood-Frame Buildings,” henceforth referred to as the “PEER–CEA Project.” The overall objective of the PEER–CEA Project is to provide scientifically based information (e.g., testing, analysis, and resulting loss models) that measure and assess the effectiveness of seismic retrofit to reduce the risk of damage and associated losses (repair costs) of wood-frame houses with cripple wall and sill anchorage deficiencies as well as retrofitted conditions that address those deficiencies. Tasks that support and inform the loss-modeling effort are: (1) collecting and summarizing existing information and results of previous research on the performance of wood-frame houses; (2) identifying construction features to characterize alternative variants of wood-frame houses; (3) characterizing earthquake hazard and ground motions at representative sites in California; (4) developing cyclic loading protocols and conducting laboratory tests of cripple wall panels, wood-frame wall subassemblies, and sill anchorages to measure and document their response (strength and stiffness) under cyclic loading; and (5) the computer modeling, simulations, and the development of loss models as informed by a workshop with claims adjustors. This report is a product of Working Group 3 (WG3), Task 3.1: Selecting and Scaling Ground-motion records. The objective of Task 3.1 is to provide suites of ground motions to be used by other working groups (WGs), especially Working Group 5: Analytical Modeling (WG5) for Simulation Studies. The ground motions used in the numerical simulations are intended to represent seismic hazard at the building site. The seismic hazard is dependent on the location of the site relative to seismic sources, the characteristics of the seismic sources in the region and the local soil conditions at the site. To achieve a proper representation of hazard across the State of California, ten sites were selected, and a site-specific probabilistic seismic hazard analysis (PSHA) was performed at each of these sites for both a soft soil (Vs30 = 270 m/sec) and a stiff soil (Vs30=760 m/sec). The PSHA used the UCERF3 seismic source model, which represents the latest seismic source model adopted by the USGS [2013] and NGA-West2 ground-motion models. The PSHA was carried out for structural periods ranging from 0.01 to 10 sec. At each site and soil class, the results from the PSHA—hazard curves, hazard deaggregation, and uniform-hazard spectra (UHS)—were extracted for a series of ten return periods, prescribed by WG5 and WG6, ranging from 15.5–2500 years. For each case (site, soil class, and return period), the UHS was used as the target spectrum for selection and modification of a suite of ground motions. Additionally, another set of target spectra based on “Conditional Spectra” (CS), which are more realistic than UHS, was developed [Baker and Lee 2018]. The Conditional Spectra are defined by the median (Conditional Mean Spectrum) and a period-dependent variance. A suite of at least 40 record pairs (horizontal) were selected and modified for each return period and target-spectrum type. Thus, for each ground-motion suite, 40 or more record pairs were selected using the deaggregation of the hazard, resulting in more than 200 record pairs per target-spectrum type at each site. The suites contained more than 40 records in case some were rejected by the modelers due to secondary characteristics; however, none were rejected, and the complete set was used. For the case of UHS as the target spectrum, the selected motions were modified (scaled) such that the average of the median spectrum (RotD50) [Boore 2010] of the ground-motion pairs follow the target spectrum closely within the period range of interest to the analysts. In communications with WG5 researchers, for ground-motion (time histories, or time series) selection and modification, a period range between 0.01–2.0 sec was selected for this specific application for the project. The duration metrics and pulse characteristics of the records were also used in the final selection of ground motions. The damping ratio for the PSHA and ground-motion target spectra was set to 5%, which is standard practice in engineering applications. For the cases where the CS was used as the target spectrum, the ground-motion suites were selected and scaled using a modified version of the conditional spectrum ground-motion selection tool (CS-GMS tool) developed by Baker and Lee [2018]. This tool selects and scales a suite of ground motions to meet both the median and the user-defined variability. This variability is defined by the relationship developed by Baker and Jayaram [2008]. The computation of CS requires a structural period for the conditional model. In collaboration with WG5 researchers, a conditioning period of 0.25 sec was selected as a representative of the fundamental mode of vibration of the buildings of interest in this study. Working Group 5 carried out a sensitivity analysis of using other conditioning periods, and the results and discussion of selection of conditioning period are reported in Section 4 of the WG5 PEER report entitled Technical Background Report for Structural Analysis and Performance Assessment. The WG3.1 report presents a summary of the selected sites, the seismic-source characterization model, and the ground-motion characterization model used in the PSHA, followed by selection and modification of suites of ground motions. The Record Sequence Number (RSN) and the associated scale factors are tabulated in the Appendices of this report, and the actual time-series files can be downloaded from the PEER Ground-motion database Portal (https://ngawest2.berkeley.edu/)(link is external).

Zhou, H. Numerical analysis of slender vortex motion. Office of Scientific and Technical Information (OSTI), febbraio 1996. http://dx.doi.org/10.2172/245550.

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Goulet, Christine, Yousef Bozorgnia, Norman Abrahamson, Nicolas Kuehn, Linda Al Atik, Robert Youngs, Robert Graves e Gail Atkinson. Central and Eastern North America Ground-Motion Characterization - NGA-East Final Report. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, dicembre 2018. http://dx.doi.org/10.55461/wdwr4082.

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Abstract (sommario):

This document is the final project report of the Next Generation Attenuation for Central and Eastern North America (CENA) project (NGA-East). The NGA-East objective was to develop a new ground-motion characterization (GMC) model for the CENA region. The GMC model consists of a set of new ground-motion models (GMMs) for median and standard deviation of ground motions and their associated weights to be used with logic-trees in probabilistic seismic hazard analyses (PSHA). NGA-East is a large multidisciplinary project coordinated by the Pacific Earthquake Engineering Research Center (PEER), at the University of California. The project has two components: (1) a set of scientific research tasks, and (2) a model-building component following the framework of the “Seismic Senior Hazard Analysis Committee (SSHAC) Level 3” (Budnitz et al. 1997; NRC 2012). Component (2) is built on the scientific results of component (1) of the NGA-East project. This report documents the tasks under component (2) of the project. Under component (1) of NGA-East, several scientific issues were addressed, including: (a) development of a new database of ground motion data recorded in CENA; (b) development of a regionalized ground-motion map for CENA, (c) definition of the reference site condition; (d) simulations of ground motions based on different methodologies; and (e) development of numerous GMMs for CENA. The scientific tasks of NGA-East were all documented as a series of PEER reports. The scope of component (2) of NGA-East was to develop the complete GMC. This component was designed as a SSHAC Level 3 study with the goal of capturing the ground motions’ center, body, and range of the technically defensible interpretations in light of the available data and models. The SSHAC process involves four key tasks: evaluation, integration, formal review by the Participatory Peer Review Panel (PPRP), and documentation (this report). Key tasks documented in this report include review and evaluation of the empirical ground- motion database, the regionalization of ground motions, and screening sets of candidate GMMs. These are followed by the development of new median and standard deviation GMMs, the development of new analyses tools for quantifying the epistemic uncertainty in ground motions, and the documentation of implementation guidelines of the complete GMC for PSHA computations. Appendices include further documentation of the relevant SSHAC process and additional supporting technical documentation of numerous sensitivity analyses results. The PEER reports documenting component (1) of NGA-East are also considered “attachments” to the current report and are all available online on the PEER website (https://peer.berkeley.edu/). The final NGA-East GMC model includes a set of 17 GMMs defined for 24 ground-motion intensity measures, applicable to CENA in the moment magnitude range of 4.0 to 8.2 and covering distances up to 1500 km. Standard deviation models are also provided for site-specific analysis (single-station standard deviation) and for general PSHA applications (ergodic standard deviation). Adjustment factors are provided for consideration of source-depth effects and hanging-wall effects, as well as for hazard computations at sites in the Gulf Coast region.

Rooks, Drew, e Trelanah McCalla. Human Dipping and Inserting Manipulation Motion Analysis. RPAL, dicembre 2018. http://dx.doi.org/10.32555/2018.ir.001.

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Foster, Michelle. MMWG Predictive Technologies - Case Study using Vibration Analysis, Phase Analysis, and Motion Amplification and other Motion Amplification Examples. Office of Scientific and Technical Information (OSTI), febbraio 2022. http://dx.doi.org/10.2172/1846901.

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Costeira, Joao, e Takeo Kanade. A Multi-Body Factorization Method for Motion Analysis,. Fort Belvoir, VA: Defense Technical Information Center, settembre 1994. http://dx.doi.org/10.21236/ada295489.

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Davis, Larry, e Ross Cutler. Real-Time Periodic Motion Detection, Analysis and Application. Fort Belvoir, VA: Defense Technical Information Center, luglio 1999. http://dx.doi.org/10.21236/ada391942.

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Gamoneda, Astrid, e Subhrajyoti Pradhan. Human Beating, Dipping, and Mixing Manipulation Motion Analysis. RPAL, dicembre 2018. http://dx.doi.org/10.32555/2018.ir.003.

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Forrest, R. N., e J. N. Eagle. An Empirical Analysis of a Submarine Motion Model. Fort Belvoir, VA: Defense Technical Information Center, agosto 1991. http://dx.doi.org/10.21236/ada242342.

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