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Journal articles on the topic 'Image motion analysis'

Author: Grafiati

Published: 4 June 2021

Last updated: 17 June 2025

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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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Li, Lin, Wen Sheng Zhang, Wen Jun Zhu, and Ya Jun Chen. "A Novel Motion Control Method Based on Acquired Images." Applied Mechanics and Materials 310 (February 2013): 439–43. http://dx.doi.org/10.4028/www.scientific.net/amm.310.439.

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The accuracy of motion mechanism has been one of the most important factors which affect the precision of image acquired. In order to reduce its effect, we propose a novel method. We firstly get a frame acquired as reference image, under the condition that motion mechanism’s accuracy was given. Then gain corresponding parameter information through image analysis algorithms. Finally, motion mechanism makes corresponding adjustment according to analysis above. Experiments show that this method could acquire images more effectively.

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12

Cui, Long, Yang Song, Yida Wang, et al. "Motion artifact reduction for magnetic resonance imaging with deep learning and k-space analysis." PLOS ONE 18, no. 1 (2023): e0278668. http://dx.doi.org/10.1371/journal.pone.0278668.

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Motion artifacts deteriorate the quality of magnetic resonance (MR) images. This study proposes a new method to detect phase-encoding (PE) lines corrupted by motion and remove motion artifacts in MR images. 67 cases containing 8710 slices of axial T2-weighted images from the IXI public dataset were split into three datasets, i.e., training (50 cases/6500 slices), validation (5/650), and test (12/1560) sets. First, motion-corrupted k-spaces and images were simulated using a pseudo-random sampling order and random motion tracks. A convolutional neural network (CNN) model was trained to filter th

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Mahapatra, Aniruddha, Aliaksandr Siarohin, Hsin-Ying Lee, Sergey Tulyakov, and Jun-Yan Zhu. "Text-Guided Synthesis of Eulerian Cinemagraphs." ACM Transactions on Graphics 42, no. 6 (2023): 1–13. http://dx.doi.org/10.1145/3618326.

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We introduce Text2Cinemagraph, a fully automated method for creating cinemagraphs from text descriptions --- an especially challenging task when prompts feature imaginary elements and artistic styles, given the complexity of interpreting the semantics and motions of these images. We focus on cinemagraphs of fluid elements, such as flowing rivers, and drifting clouds, which exhibit continuous motion and repetitive textures. Existing single-image animation methods fall short on artistic inputs, and recent text-based video methods frequently introduce temporal inconsistencies, struggling to keep

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Harsh, Raj, Duggal Aditya, Kumar Shetty M. Aditya, Uppara Sreekanth, and M. S. Srividya. "Hand Motion Analysis using CNN." International Journal of Soft Computing and Engineering (IJSCE) 9, no. 6 (2020): 26–30. https://doi.org/10.35940/ijsce.F3409.059620.

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Hand motion detection and gesture recognition research has attracted large interest due to its wide range of applications in the field of Human computer interaction such as sign language recognition, 3D printing, virtual reality. There have been several approaches to create a robust algorithm to ease human computer interaction and perform in unfavourable environments.The real time recognition and learning of the model are big challenges. In this work, we use Convolutional Neural Network architecture to detect and classify hand motions, the region of interest of the image is passed through the

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Hadian Jazi, Marjan, Alireza Bab-Hadiashar, and 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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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 simpli

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Guo Jie, 郭洁, 孙东松 Sun Dongsong, 强希文 Qiang Xiwen, et al. "Error Analysis of Differential Image Motion Lidar." Acta Optica Sinica 34, no. 8 (2014): 0801004. http://dx.doi.org/10.3788/aos201434.0801004.

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Vimal Raj, M., and S. Sakthivel Murugan. "Motion Deblurring Analysis for Underwater Image Restoration." Journal of Physics: Conference Series 1911, no. 1 (2021): 012028. http://dx.doi.org/10.1088/1742-6596/1911/1/012028.

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18

INOUE, MASAO. "Analysis of motion using correlation of image." Journal of Life Support Engineering 10, no. 2 (1998): 63–64. http://dx.doi.org/10.5136/lifesupport.10.63.

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Wiwanitkit, Viroj. "Motion of Spermatozoa by Visual Image Analysis." Sexuality and Disability 25, no. 3 (2007): 151–54. http://dx.doi.org/10.1007/s11195-007-9041-0.

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Iliev, P., and L. Tsekov. "Motion detection using image histogram sequence analysis." Signal Processing 30, no. 3 (1993): 373–84. http://dx.doi.org/10.1016/0165-1684(93)90018-6.

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Huafeng, Liu. "Cardiac nonrigid motion analysis from image sequences." Progress in Natural Science 16, no. 10 (2006): 1115–18. http://dx.doi.org/10.1080/10020070612330119.

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22

Kenner, Martin, and Ting-Chuen Pong. "Motion analysis of long image sequence flow." Pattern Recognition Letters 11, no. 2 (1990): 123–31. http://dx.doi.org/10.1016/0167-8655(90)90122-i.

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23

Tian, Kun, and Qionghua Xia. "Feature Extraction of Gymnastics Images Based on Multi-scale Feature Fusion Algorithm." Scalable Computing: Practice and Experience 25, no. 5 (2024): 3394–407. http://dx.doi.org/10.12694/scpe.v25i5.3190.

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The feature extraction and analysis of gymnastics images is an essential foundation for estimating human posture. The primary step is to obtain various joint points of athletes based on basic information such as human texture and contour in the sports images. The reconstruction and analysis of the human skeleton is completed based on the feature data of the joint points. In this process, traditional algorithm models often have certain shortcomings in the accuracy of feature extraction for motion images. This paper combines multi-scale feature fusion algorithms to construct a gymnastics motion

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Iwamura, Kiyohiko, Jun Younes Louhi Kasahara, Alessandro Moro, Atsushi Yamashita, and Hajime Asama. "Image Captioning Using Motion-CNN with Object Detection." Sensors 21, no. 4 (2021): 1270. http://dx.doi.org/10.3390/s21041270.

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Automatic image captioning has many important applications, such as the depiction of visual contents for visually impaired people or the indexing of images on the internet. Recently, deep learning-based image captioning models have been researched extensively. For caption generation, they learn the relation between image features and words included in the captions. However, image features might not be relevant for certain words such as verbs. Therefore, our earlier reported method included the use of motion features along with image features for generating captions including verbs. However, al

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Wang, Haiying. "Three-Dimensional Image Recognition of Athletes' Wrong Motions Based on Edge Detection." Journal Européen des Systèmes Automatisés 53, no. 5 (2020): 733–38. http://dx.doi.org/10.18280/jesa.530516.

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The traditional 3D visual motion amplitude tracking algorithms cannot acquire the complete contour features, not to mention the correction of wrong motions in sports training. To solve the problem, this paper designs a 3D visual image recognition method based on contourlet domain edge detection, and applies it to the recognition of athlete’s wrong motions in sports training. Firstly, the visual reconstruction and feature analysis of human motions were carried out, and the edge detection features were extracted by edge detection algorithm. Then, a 3D visual motion amplitude tracking method was

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Mourad, Moussa, Bdioui Nesrine, and Douik Ali. "Motion Detection and Clustering Using PCA and NN in Color Image Sequence." TELKOMNIKA Telecommunication, Computing, Electronics and Control 16, no. 2 (2018): 747–54. https://doi.org/10.12928/TELKOMNIKA.v16i2.7471.

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This paper presents a motion detection method with the use of the Principal Component Analysis. This method is able to detect and track moving objects in a sequence of images. The tested sequence is segmented within the meaning of movement. In this paper, the concept of extracting significant information from a large number of data is adopted to provide an effective method for tracking moving objects on the video image. The principal components are different in term of getting significant information, the nature of motion (the nature of information) is responsible of this difference, the algor

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Yang, Jianhua. "Frame Design of Moving Image Analysis System Based on Spatiotemporal Features." Wireless Communications and Mobile Computing 2022 (March 25, 2022): 1–9. http://dx.doi.org/10.1155/2022/8612400.

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In sports, kinematic image analysis is primarily concerned with the examination of space-time characteristics, such as image analysis of the speed and acceleration of related objects. Software and hardware make up the entire system. The medical scanner, scanning workstation, and DICOM server are all part of the hardware. Our self-developed scanner is used in the medical scanner, which can collect binary, 8-bit gray, 24-bit true color, 16-bit gray, and 48-bit color images. Kinematic image analysis is used to intuitively analyze sports technology, as well as to evaluate and diagnose its rational

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Wei, Chao. "Analysis of micro-motion of nanofluid particles based on machine vision." Thermal Science 25, no. 6 Part A (2021): 4145–51. http://dx.doi.org/10.2298/tsci2106145w.

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In order to accurately analyze the motion characteristics of nanofluid particles in the flow state, a method for micro-motion analysis of nanofluid particles based on machine vision was proposed. The influence of temperature on the micro-motion of nanoparticles was studied by establishing a water-based near-wall flow simulation model of nanofluids, and the Lennard-Jones potential parameters of nanofluids were obtained. Machine vision imaging technology is used to establish a reference system for nanofluid particles micro-motion image acquisition. Based on this system, the micro-motion images o

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Xu, Yuanhong. "Characteristic Analysis Technology of Moving People Based on Image Recognition." Mobile Information Systems 2022 (July 4, 2022): 1–10. http://dx.doi.org/10.1155/2022/1604993.

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In recent years, the visual analysis of human motion has become a frontier direction in the field of computer vision. It recognizes, identifies, and tracks people in image sequences, as well as understands and describes their actions. Using computer vision technology to study the field of image processing and pattern recognition, as well as extracting and effectively identifying human motion features from video images, has become a hot topic of concern with the rapid development and popularization of information technology. This study presents a method for analyzing the characteristics of movi

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Senseman, David M., and Kay A. Robbins. "High-Speed VSD Imaging of Visually Evoked Cortical Waves: Decomposition Into Intra- and Intercortical Wave Motions." Journal of Neurophysiology 87, no. 3 (2002): 1499–514. http://dx.doi.org/10.1152/jn.00475.2001.

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In the pond turtle, Pseudemys scripta elegans, visually evoked cortical waves propagate at different velocities within the primary visual area compared with waves that pass into the secondary visual area. In an effort to separate intra- and intercortical wave motions, movies of visually evoked cortical waves recorded by high-speed voltage-sensitive dye (VSD) imaging were subjected to Karhunen-Loéve (KL) decomposition. This procedure decomposes the VSD movies into a series of basis images that capture different spatial patterns of coherent activity. Most of the energy of the compound wave motio

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HATTORI, Kazuhiro, Hiroko KURIYAMA, and Norikazu MAENO. "Motion analysis of a curling stone by image analysis." Proceedings of the Symposium on sports and human dynamics 2017 (2017): C—30. http://dx.doi.org/10.1299/jsmeshd.2017.c-30.

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Yoon, Chiho, Changyeop Lee, Keecheol Shin, and Chulhong Kim. "Motion Compensation for 3D Multispectral Handheld Photoacoustic Imaging." Biosensors 12, no. 12 (2022): 1092. http://dx.doi.org/10.3390/bios12121092.

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Three-dimensional (3D) handheld photoacoustic (PA) and ultrasound (US) imaging performed using mechanical scanning are more useful than conventional 2D PA/US imaging for obtaining local volumetric information and reducing operator dependence. In particular, 3D multispectral PA imaging can capture vital functional information, such as hemoglobin concentrations and hemoglobin oxygen saturation (sO2), of epidermal, hemorrhagic, ischemic, and cancerous diseases. However, the accuracy of PA morphology and physiological parameters is hampered by motion artifacts during image acquisition. The aim of

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Yan, Jimeng, and Zhihang Sun. "Limb motion mechanics analysis of Taijiquan trainees combined with APAS image analysis system." Molecular & Cellular Biomechanics 21, no. 4 (2024): 1033. https://doi.org/10.62617/mcb1033.

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Analyzing the motion mechanics of Taijiquan trainees’ limbs can help trainees better understand the mechanics of Taijiquan movement and improve their training speed. However, all the current motion mechanics analysis models still have the disadvantage of poor motion mechanics analysis due to inaccurate motion image feature extraction. Therefore, this study utilizes the Ariel performance analysis system and temporal-difference to construct a motion mechanics analysis model to extract motion image features of Taijiquan and analyze its motion mechanics. analysis. The study first experimented with

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Zhou, Jian Yang, Yin Tao Yang, and Yi Liang Wu. "Fast Restoration Algorithm for Rotational Motion Blurred Images." Advanced Materials Research 267 (June 2011): 969–73. http://dx.doi.org/10.4028/www.scientific.net/amr.267.969.

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This paper first introduces the history and research status of motion-blurred image restoration, and then establishes a rotating image degradation model. we present a fast algorithm for real-time hardware restoration of rotating motion blurred images, the algorithm is simulated and experimental platform is built for the actual verification. Through comparison and analysis of the recovery results, we verify the accuracy of the algorithm, and it shows that this rotational motion blurred image restoration algorithm can receive satisfactory results.

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Wang, Hongwei, Jie Gao, and Jingjing Liu. "Research and Implementation of the Sports Analysis System Based on 3D Image Technology." Wireless Communications and Mobile Computing 2021 (October 6, 2021): 1–11. http://dx.doi.org/10.1155/2021/4266417.

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On the basis of existing research, this paper analyzes the algorithms and technologies of 3D image-based sports models in depth and proposes a fusion depth map in view of some of the shortcomings of the current hot spot sports model methods based on 3D images. We use the 3D space to collect the depth image, remove the background from the depth map, recover the 3D motion model from it, and then build the 3D model database. In this paper, based on the characteristics of continuity in space and smoothness in time of a rigid body moving target, a reasonable rigid body target motion hypothesis is p

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Hu, Yan. "Reliability Analysis of Multi-Objective Spatio-Temporal Segmentation of Human Motion in Video Sequences." International Journal of Distributed Systems and Technologies 12, no. 1 (2021): 16–29. http://dx.doi.org/10.4018/ijdst.2021010102.

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In view of the problem of uneven distribution of edge contour of multi-target human motion image in video sequence, which leads to the decline of target detection ability, an algorithm of multi-target spatial-temporal segmentation of human motion in video sequence based on edge contour feature detection and block fusion is proposed. Firstly, a multi-target spatial-temporal detection model of human motion in video sequence was constructed, extracting video image frame sequence, using discrete frame fusion method to segment and fuse moving target image, matching moving multi-target in video sequ

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Lee, Hau-Wei, and Chien-Hung Liu. "Vision Servo Motion Control and Error Analysis of a CoplanarXXYStage for Image Alignment Motion." Mathematical Problems in Engineering 2013 (2013): 1–12. http://dx.doi.org/10.1155/2013/592312.

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In recent years, as there is demand for smart mobile phones with touch panels, the alignment/compensation system of alignment stage with vision servo control has also increased. Due to the fact that the traditional stacked-typeXYθstage has cumulative errors of assembly and it is heavy, it has been gradually replaced by the coplanar stage characterized by three actuators on the same plane with three degrees of freedom. The simplest image alignment mode uses two cameras as the equipments for feedback control, and the work piece is placed on the working stage. The work piece is usually engraved/m

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Chen, Chih Ho, and Sheng-Min Hsieh. "The Research of Aesthetics of Type as Image in Motion-Targeting Video Poetics at Type Motion: Type as Image in Motion Exhibition in Taiwan." Advances in Social Sciences Research Journal 7, no. 6 (2020): 190–207. http://dx.doi.org/10.14738/assrj.76.8387.

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Characters are signs and symbols that record our thoughts and feelings and allow the documentation of events and history. Later, the appearance of motion images marked a new milestone in the use and application of characters. Not only were the original function of characters improved and enhanced, text that integrate sound and images are also able to communicate much more diverse and abundant information. This technique is commonly found in cinema, television, advertisement, and animation. Thanks to technological advances, the combination of characters, texts, or types and images once again ch

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Lee, Meemong, and Wei-Liang Yang. "Image-Analysis Techniques for Determination of Morphology and Kinematics in Arctic Sea Ice." Annals of Glaciology 9 (1987): 92–96. http://dx.doi.org/10.3189/s0260305500000458.

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The synthetic aperture radar (SAR) data have been used to study sea ice with respect to its motion and formation/deformation. With the prospect of the Alaska SAR Facility development in the near future, there is a great need for robust and efficient sea-ice analysis techniques. This paper presents a sea-ice motion analysis technique that can be used for (1) local motion analysis of a selected ice patch and (2) a global ice motion over the entire image area. Though there are several sea-ice motion tracking techniques, they do not provide the required operational speed or robustness. In order to

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Lee, Meemong, and Wei-Liang Yang. "Image-Analysis Techniques for Determination of Morphology and Kinematics in Arctic Sea Ice." Annals of Glaciology 9 (1987): 92–96. http://dx.doi.org/10.1017/s0260305500000458.

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The synthetic aperture radar (SAR) data have been used to study sea ice with respect to its motion and formation/deformation. With the prospect of the Alaska SAR Facility development in the near future, there is a great need for robust and efficient sea-ice analysis techniques. This paper presents a sea-ice motion analysis technique that can be used for (1) local motion analysis of a selected ice patch and (2) a global ice motion over the entire image area. Though there are several sea-ice motion tracking techniques, they do not provide the required operational speed or robustness. In order to

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Sun, Jingmeng, and Yifei Liu. "Segmentation for Human Motion Injury Ultrasound Medical Images Using Deep Feature Fusion." Mathematical Problems in Engineering 2022 (August 29, 2022): 1–9. http://dx.doi.org/10.1155/2022/4825720.

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Image processing technology assists physicians in the analysis of athletes’ human motion injuries, not only to improve the accuracy of athletes’ injury detection but also to improve the localization and recognition of injury locations. It is important to accurately segment human motion injury ultrasound medical images. To address many problems such as poor effect of traditional ultrasonic medical image segmentation algorithm for a sports injury. Therefore, we propose a segmentation algorithm for human motion injury ultrasound medical images using deep feature fusion. First, the accurate estima

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Carolina, Sparavigna Amelia. "Analysis of the Motion of Some Brazilian Coastal Dunes." International Journal of Sciences Volume 5, no. 2016-01 (2016): 22–31. https://doi.org/10.5281/zenodo.3349089.

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Satellite images of coastal dunes of Brazil are showing an interesting feature. As we can see from images of Google Earth, these dunes are leaving, during their motion, some footprints behind, which are sedimentary patterns. Then, we can use the Google Earth images to follow year after year the motion of such dunes. Here we give some examples of the analysis we can perform on such satellite images, in particular for a remote monitoring of these moving dunes.Read Complete Article at ijSciences: V5201601905 AND DOI: http://dx.doi.org/10.18483/ijSci.905

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Gao, Liping. "The Method of Pose Judgment of Potential Motion Damage in 3D Image Analysis." Journal of Healthcare Engineering 2021 (November 29, 2021): 1–6. http://dx.doi.org/10.1155/2021/4743231.

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Objective. This work aimed to study the posture judgment method of 3D image analysis of potential motion damage. Methods. The motion damage collection was implemented by the 3D image analysis method, and 3D image data were adopted to identify the motion damage data. Moreover, 3D image acquisition technology was adopted to analyze the model of potential motion damage and analyze the simulation judgment result of potential motion damage. Specifically, it included simulation parameters, motion damage posture collection effect, damage detection speed at the collection point, damage accuracy, and d

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Inaba, Naoko, Shigeru Shinomoto, Shigeru Yamane, Aya Takemura, and Kenji Kawano. "MST Neurons Code for Visual Motion in Space Independent of Pursuit Eye Movements." Journal of Neurophysiology 97, no. 5 (2007): 3473–83. http://dx.doi.org/10.1152/jn.01054.2006.

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When a person tracks a small moving object, the visual images in the background of the visual scene move across his/her retina. It, however, is possible to estimate the actual motion of the images despite the eye-movement-induced motion. To understand the neural mechanism that reconstructs a stable visual world independent of eye movements, we explored areas MT (middle temporal) and MST (medial superior temporal) in the monkey cortex, both of which are known to be essential for visual motion analysis. We recorded the responses of neurons to a moving textured image that appeared briefly on the

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Ron, Avihai, Neda Davoudi, Xosé Luís Deán-Ben, and Daniel Razansky. "Self-Gated Respiratory Motion Rejection for Optoacoustic Tomography." Applied Sciences 9, no. 13 (2019): 2737. http://dx.doi.org/10.3390/app9132737.

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Respiratory motion in living organisms is known to result in image blurring and loss of resolution, chiefly due to the lengthy acquisition times of the corresponding image acquisition methods. Optoacoustic tomography can effectively eliminate in vivo motion artifacts due to its inherent capacity for collecting image data from the entire imaged region following a single nanoseconds-duration laser pulse. However, multi-frame image analysis is often essential in applications relying on spectroscopic data acquisition or for scanning-based systems. Thereby, efficient methods to correct for image di

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Song, Qiang. "Affine Texture Analysis with Scale-Area Histogram." Key Engineering Materials 474-476 (April 2011): 1183–86. http://dx.doi.org/10.4028/www.scientific.net/kem.474-476.1183.

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A major problem of texture analysis is that textures in the real world are often not uniform due to variations in orientation, scale, or other visual appearance. In this paper, affine texture analysis with texel scale-area histogram is presented. A textural image is decomposed into a set of scale images and each scale image consists of square texels of the same size. The scale-area histogram of texel is used as texture feature for multi-scale texture analysis and dominant texture scale analysis. Measurement of the dominant texel sizes of textural images with different rotation angles and spati

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LEE, JEONG J., and JOSHUA H. YOU. "MOVEMENT MEASUREMENT VALIDITY AND RELIABILITY OF THE IMAGE J PROGRAM FOR KINEMATIC ANALYSIS." Journal of Mechanics in Medicine and Biology 16, no. 08 (2016): 1640028. http://dx.doi.org/10.1142/s0219519416400285.

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Background: While advanced motion analysis systems can provide accurate kinematic information, the majorities of motion analysis systems are stationary, expensive and time consuming. Image J is a Java-based image processing program that was originally developed at the National Institutes of Health and has rapidly gained widespread acceptance among rehabilitation specialists as a portable and affordable alternative motion analysis system. However, the validity and reliability of the Image J program have not been well established. Objective: The purpose of this study was to investigate the valid

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UEMURA, Tomomasa, Takuya TERANISHI, and Hideki NAKAJOU. "Motion Measurement of Chaos Pendulum Using Image Analysis." Journal of the Visualization Society of Japan 17, Supplement2 (1997): 137–40. http://dx.doi.org/10.3154/jvs.17.supplement2_137.

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Shi, Zhiyong, Fengchun Tian, Yande Wang, and Jian Ran. "Application of fractal analysis in image motion estimation." Imaging Science Journal 65, no. 6 (2017): 349–57. http://dx.doi.org/10.1080/13682199.2017.1355040.

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Wang, Liangliang, Ruifeng Li, and Yajun Fang. "Energy flow: image correspondence approximation for motion analysis." Optical Engineering 55, no. 4 (2016): 043109. http://dx.doi.org/10.1117/1.oe.55.4.043109.

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