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Relevant bibliographies by topics / Image motion analysis

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Academic literature on the topic 'Image motion analysis'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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Journal articles on the topic "Image motion analysis"

1

Ge, Shishun, and Chunhong Zhu. "Application of Motion Video Analysis System Based on SISA Neural Network in Sports Training." Advances in Multimedia 2022 (July 7, 2022): 1–11. http://dx.doi.org/10.1155/2022/3692902.

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This paper proposes the study of motion video image classification and recognition, extracts the motion target image features, designs the image classification process, and establishes the neural network image classification model to complete the image recognition. In view of the different angles of the same element, the motion video image classification and recognition under the neural network are completed by using the error back-propagation algorithm. The performance of the proposed method is verified by simulation experiments. Experimental results show that the proposed method has a high r

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Li, Shangbin, and Yu Liu. "Human motion recognition based on Nano-CMOS Image sensor." Mathematical Biosciences and Engineering 20, no. 6 (2023): 10135–52. http://dx.doi.org/10.3934/mbe.2023444.

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<abstract> <p>Human motion recognition is of great value in the fields of intelligent monitoring systems, driver assistance system, advanced human-computer interaction, human motion analysis, image and video processing. However, the current human motion recognition methods have the problem of poor recognition effect. Therefore, we propose a human motion recognition method based on Nano complementary metal oxide semiconductor (CMOS) image sensor. First, using the Nano-CMOS image sensor to transform and process the human motion image, and combines the background mixed model of pixels

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Yoshida, Nobukiyo, Hajime Kageyama, Hiroyuki Akai, et al. "Motion correction in MR image for analysis of VSRAD using generative adversarial network." PLOS ONE 17, no. 9 (2022): e0274576. http://dx.doi.org/10.1371/journal.pone.0274576.

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Voxel-based specific region analysis systems for Alzheimer’s disease (VSRAD) are clinically used to measure the atrophied hippocampus captured by magnetic resonance imaging (MRI). However, motion artifacts during acquisition of images may distort the results of the analysis. This study aims to evaluate the usefulness of the Pix2Pix network in motion correction for the input image of VSRAD analysis. Seventy-three patients examined with MRI were distinguished into the training group (n = 51) and the test group (n = 22). To create artifact images, the k-space images were manipulated. Supervised d

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Song, Yue Hong, and Peng Fei Wang. "Frequency Characteristics Analysis of Simulated Horizontal and Vertical Motion Blurred Image." Applied Mechanics and Materials 200 (October 2012): 694–97. http://dx.doi.org/10.4028/www.scientific.net/amm.200.694.

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This paper based on the degradation model of the blurred image by uniform rectilinear motion, simulated horizontal and vertical motion blurred images. The Fourier transform method was employed to analyze the frequency characteristics of blurred images. The simulation test result shows that ideally via the frequency characteristics of the blurred images, we can obtain the motion parameter, including distance and direction. These can be of great useful for image restoration of many blurring circumstances such as camera and printing images.

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Xu, Yan, Gu, Li, and Li. "Analysis of Dynamic Modulation Transfer Function for Complex Image Motion." Applied Sciences 9, no. 23 (2019): 5142. http://dx.doi.org/10.3390/app9235142.

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In remote-sensing imaging, the modulation transfer function (MTF) for image motion relevant to the mixing of multiple forms of motions is hard to calculate because of the complicated image motion expression. In this paper, a new method for calculating the MTF for complex image motion is proposed. The presented method makes it possible to obtain an analytical MTF expression derived from the mixing of linear motion and sinusoidal motion at an arbitrary frequency. On this basis, we used the summation of infinitely many terms involving the Bessel function to simplify the MTF expression. The trunca

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Kumar, Ankur N., Kurt W. Short, and David W. Piston. "A Motion Correction Framework for Time Series Sequences in Microscopy Images." Microscopy and Microanalysis 19, no. 2 (2013): 433–50. http://dx.doi.org/10.1017/s1431927612014250.

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AbstractWith the advent of in vivo laser scanning fluorescence microscopy techniques, time-series and three-dimensional volumes of living tissue and vessels at micron scales can be acquired to firmly analyze vessel architecture and blood flow. Analysis of a large number of image stacks to extract architecture and track blood flow manually is cumbersome and prone to observer bias. Thus, an automated framework to accomplish these analytical tasks is imperative. The first initiative toward such a framework is to compensate for motion artifacts manifest in these microscopy images. Motion artifacts

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Chen chen and Daohui Bi. "A Motion Image Pose Contour Extraction Method Based on B-Spline Wavelet." International Journal of Antennas and Propagation 2021 (October 26, 2021): 1–8. http://dx.doi.org/10.1155/2021/4553143.

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In order to improve the accuracy of traditional motion image pose contour extraction and shorten the extraction time, a motion image pose contour extraction method based on B-spline wavelet is proposed. Moving images are acquired through the visual system, the information fusion process is used to perform statistical analysis on the images containing motion information, the location of the motion area is determined, convolutional neural network technology is used to preprocess the initial motion image pose contour, and B-spline wavelet theory is used. The preprocessed motion image pose contour

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Mukawa, Naoki. "Optical model for motion image analysis." Systems and Computers in Japan 26, no. 6 (1995): 39–48. http://dx.doi.org/10.1002/scj.4690260604.

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Darrouzet, F., J. De Keyser, P. M. E. Décréau, et al. "Analysis of plasmaspheric plumes: CLUSTER and IMAGE observations." Annales Geophysicae 24, no. 6 (2006): 1737–58. http://dx.doi.org/10.5194/angeo-24-1737-2006.

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Abstract. Plasmaspheric plumes have been routinely observed by CLUSTER and IMAGE. The CLUSTER mission provides high time resolution four-point measurements of the plasmasphere near perigee. Total electron density profiles have been derived from the electron plasma frequency identified by the WHISPER sounder supplemented, in-between soundings, by relative variations of the spacecraft potential measured by the electric field instrument EFW; ion velocity is also measured onboard these satellites. The EUV imager onboard the IMAGE spacecraft provides global images of the plasmasphere with a spatial

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Yang, Yongming, Chunfeng Yu, Yuanchao Wang, Nan Hua, and Haipeng Kuang. "Imaging Attitude Control and Image Motion Compensation Residual Analysis Based on a Three-Axis Inertially Stabilized Platform." Applied Sciences 11, no. 13 (2021): 5856. http://dx.doi.org/10.3390/app11135856.

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The airborne area camera has received broad application in aerial reconnaissance, land resource surveying, environmental monitoring, photogrammetry mapping, and natural disaster information acquisition. A three-axis, inertially stabilized platform with a large rotation range for the roll axis is designed, which is based on the cantilever structure, in order to realize a large-angle sweep imaging function for airborne area cameras. An image attitude control algorithm in the inertial space is proposed, which can regulate the line of sight (LOS) as well as the image orientation. The area camera i

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Dissertations / Theses on the topic "Image motion analysis"

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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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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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Giaccone, Paul. "Motion analysis of cinematographic image sequences." Thesis, Kingston University, 2000. http://eprints.kingston.ac.uk/20647/.

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Many digital special effects require knowledge of the motion present in an image sequence. In order for these effects to be realistic, blending seamlessly with unmodified live action or animation, motion must be represented accurately. Most existing methods of motion estimation are unsuitable for use in postproduction for one or more reasons; namely poor accuracy; corruption, by aliasing and the aperture problem, of estimation of large-magnitude motion; failure to handle multiple motions and motion boundaries; representation of curvilinear motion as concatenated translations instead of as smoo

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Saunders, Thomas. "Image motion analysis using inertial sensors." Thesis, University of Bath, 2015. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.687346.

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Understanding the motion of a camera from only the image(s) it captures is a di cult problem. At best we might hope to estimate the relative motion between camera and scene if we assume a static subject, but once we start considering scenes with dynamic content it becomes di cult to di↵erentiate between motion due to the observer or motion due to scene movement. In this thesis we show how the invaluable cues provided by inertial sensor data can be used to simplify motion analysis and relax requirements for several computer vision problems. This work was funded by the University of Bath.

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Dobie, Mark Ralph. "Motion analysis in multimedia systems." Thesis, University of Southampton, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.359240.

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Robinson, M. Dirk. "Estimation theoretic analysis of motion in image sequences /." Diss., Digital Dissertations Database. Restricted to UC campuses, 2004. http://uclibs.org/PID/11984.

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O'Shaughnessy, Richard. "Motion-compensated predictive coding of image sequences : analysis and evaluation." Thesis, McGill University, 1985. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=72065.

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In this study, motion-compensated predictive coding of monochrome image sequences was investigated. The goals were to evaluate the performance limits of this coding method, to determine its relative advantages in comparison to other predictive coding techniques not compensated for motion, and to identify the factors which limit further improvements in performance. A motion-compensated prediction algorithm which estimates displacements only from previously-transmitted data was presented, and was shown to be nearly optimal. At low distortion levels, an adaptive intra-inter-frame predictor not co

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Ye, Ming. "Robust visual motion analysis : piecewise-smooth optical flow and motion-based detection and tracking /." Thesis, Connect to this title online; UW restricted, 2002. http://hdl.handle.net/1773/6077.

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Kruger, Stefan A. "Motion analysis and estimation using multiresolution affine models." Thesis, University of Bristol, 1998. http://hdl.handle.net/1983/f1c3201e-cc47-4064-a897-5264498767bf.

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Mustofadee, Affan. "Classification of muscles from ultrasound image sequences." Thesis, Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-2391.

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<p>The analysis of the health condition in Rheumatoid Arthritis (RA) remains a qualitative process dependent on visual inspection by a clinician. Fully automatic techniques that can accurately classify the health of the muscle have yet to be developed. The intended purpose of this work is to develop a novel spatio-temporal technique to assist in a rehabilitation program framework, by identifying motion features inherited in the muscles in order to classify them as either healthy or diseased. Experiments are based on ultrasound image sequences during which the muscles were undergoing contractio

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Books on the topic "Image motion analysis"

1

Z, Bober Miroslaw. Robust motion analysis. Research Studies Press, 1999.

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

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3

Sezan, M. Ibrahim, and Reginald L. Lagendijk, eds. Motion Analysis and Image Sequence Processing. Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-3236-1.

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Ibrahim, Sezan M., and Lagendijk Reginald L, eds. Motion analysis and image sequence processing. Kluwer Academic Publishers, 1993.

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Sezan, M. Ibrahim. Motion Analysis and Image Sequence Processing. Springer US, 1993.

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6

C, Labit, ed. Motion analysis for image sequence coding. Elsevier, 1994.

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7

Mitiche, Amar, and J. K. Aggarwal. Computer Vision Analysis of Image Motion by Variational Methods. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-00711-3.

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Daniel, Cremers, and SpringerLink (Online service), eds. Stereo Scene Flow for 3D Motion Analysis. Springer-Verlag London Limited, 2011.

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9

Wang, Liang. Machine learning for human motion analysis: Theory and practice. Medical Information Science Reference, 2010.

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Lauren, Fletcher, Klute Glenn K, and United States. National Aeronautics and Space Administration., eds. Evaluation of lens distortion errors using an underwater camera system for video-based motion analysis. National Aeronautics and Space Administration, 1994.

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Book chapters on the topic "Image motion analysis"

1

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

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

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Micusik, Branislav, and Horst Wildenauer. "Plane Refined Structure from Motion." In Image Analysis. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59126-1_3.

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

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

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Schroeder, P., R. Roux, J. M. Favreau, M. Perriollat, and A. Bartoli. "Industrial Phase-Shifting Profilometry in Motion." In Image Analysis. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38886-6_54.

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

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Svärm, Linus, and Magnus Oskarsson. "Structure from Motion Estimation with Positional Cues." In Image Analysis. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38886-6_49.

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Schöning, Julius, Thea Behrens, Patrick Faion, Peyman Kheiri, Gunther Heidemann, and Ulf Krumnack. "Structure from Motion by Artificial Neural Networks." In Image Analysis. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59126-1_13.

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Wilm, Jakob, Oline V. Olesen, Rasmus R. Paulsen, Liselotte Højgaard, Bjarne Roed, and Rasmus Larsen. "Real Time Surface Registration for PET Motion Tracking." In Image Analysis. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21227-7_16.

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Conference papers on the topic "Image motion analysis"

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Kyprianidi, T., E. Doutsi, G. Tzagkarakis, and P. Tsakalides. "Exploring the Potential of Recurrence Quantification Analysis for Video Analysis and Motion Detection." In 2024 IEEE International Conference on Image Processing (ICIP). IEEE, 2024. http://dx.doi.org/10.1109/icip51287.2024.10647991.

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Zhang, Zhenming, Feng Wang, Guangxi Zhu, Lei Xie, and Jingbo Gao. "A new global motion estimation algorithm." In MIPPR 2005 Image Analysis Techniques, edited by Deren Li and Hongchao Ma. SPIE, 2005. http://dx.doi.org/10.1117/12.655278.

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Sun, Yan, Jonathon S. Hare, and 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, and 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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Haller, Martin, Andreas Krutz, and Thomas Sikora. "Evaluation of pixel- and motion vector-based global motion estimation for camera motion characterization." In 2009 10th Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS). IEEE, 2009. http://dx.doi.org/10.1109/wiamis.2009.5031429.

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Hao Pan, Xiao-Fan Feng, and S. Daly. "LCD motion blur modeling and analysis." In rnational Conference on Image Processing. IEEE, 2005. http://dx.doi.org/10.1109/icip.2005.1529981.

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Gong, Sheng-rong, and Xiang Zhou. "HDS: a fast and hierarchical diamond search algorithm in video motion estimation." In MIPPR 2005 Image Analysis Techniques, edited by Deren Li and Hongchao Ma. SPIE, 2005. http://dx.doi.org/10.1117/12.652322.

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Fong, David Y. "Image representation infrastructure for motion analysis." In San Diego '90, 8-13 July, edited by Andrew G. Tescher. SPIE, 1990. http://dx.doi.org/10.1117/12.23518.

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Leduc, Jean-Pierre. "3D+T motion analysis with nanosensors." In Applications of Digital Image Processing XL, edited by Andrew G. Tescher. SPIE, 2017. http://dx.doi.org/10.1117/12.2273403.

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Luo, Zhiming, Pierre-Marc Jodoin, Shao-Zi Li, and Song-Zhi Su. "Traffic analysis without motion features." In 2015 IEEE International Conference on Image Processing (ICIP). IEEE, 2015. http://dx.doi.org/10.1109/icip.2015.7351412.

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Reports on the topic "Image motion analysis"

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AKHADOVA, R. A., and M. L. SHTUKKERT. ‘THE DREAM OF A RIDICULOUS MAN’ F.M. DOSTOEVSKY AND A. PETROV: POETICS OF THE FEAR. Science and Innovation Center Publishing House, 2021. http://dx.doi.org/10.12731/978-0-615-67323-3-8-21.

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The purpose of the study is to determine the features of the structure and functioning of the fear motive in F.M. Dostoevsky’s “fantastic story” “The Dream of a Ridiculous Man” and in A. Petrov’s cartoon of the same name. The report first examines the images, details, etc., with which the fear motive is created in the story, and then analyzes the ways of embodying this motive and transmitting a certain frightening atmosphere in the cinema. There is revealed and determined the ontological significance and the main character of fear in the “The Dream of a Ridiculous Man”, which, in our opinion,

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Nestleroth, Dr J. Bruce. PR-3-823-R01 Remote Field Eddy Current Detection of Stress-Corrosion Cracks. Pipeline Research Council International, Inc. (PRCI), 1990. http://dx.doi.org/10.55274/r0011870.

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The feasibility of detecting stress-corrosion cracks (SCC) using the Remote Field Eddy Current (RFEC) technique was demonstrated. The RFEC technique interrogates the entire thickness of the pipe and is applicable for in-line inspection. If it can be shown that the RFEC technique is effective in detecting SCC, then the technique is an ideal method for detecting the defects of interest. A defect detection model is proposed for explaining the mechanism for crack detection. For axially orientated, closed cracks, such as SCC, the conventional defect detection model proved to be too simplistic and n

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