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Статті в журналах з теми "Eulerian Video Magnification Method"

Автор: Grafiati

Опубліковано: 3 червня 2025

Оновлено: 31 липня 2025

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1

Shahadi, Haider Ismael, Zaid Jabbar Al-allaq, and Hayder Jawad Albattat. "Efficient denoising approach based eulerian videomagnification forcolour and motion variations." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 5 (2020): 4701. http://dx.doi.org/10.11591/ijece.v10i5.pp4701-4711.

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Анотація:

Digital video magnification is a computer-based microscope, which is useful to detect subtle changes to human eyes in recorded videos. This technology can be employed in several areas such as medical, biological, mechanical and physical applications. Eulerian is the most popular approach in video magnification. However, amplifying the subtle changes in video produces amplifying the subtle noise. This paper proposes an approach to reduce amplified noise in magnified video for both type of changes amplifications, color and motion. The proposed approach processes the resulted video from Eulerian

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2

Haider, Ismael Shahadi, Jabbar Al-allaq Zaid, and Jawad Albattat Hayder. "Efficient denoising approach based Eulerian video magnification for colour and motion variations." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 5 (2020): 4701–11. https://doi.org/10.11591/ijece.v10i5.pp4701-4711.

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Анотація:

Digital video magnification is a computer-based microscope, which is useful to detect subtle changes to human eyes in recorded videos. This technology can be employed in several areas such as medical, biological, mechanical and physical applications. Eulerian is the most popular approach in video magnification. However, amplifying the subtle changes in video produces amplifying the subtle noise. This paper proposes an approach to reduce amplified noise in magnified video for both type of changes amplifications, color and motion. The proposed approach processes the resulted video from Eulerian

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3

Shahadi, Haider Ismael, Hayder J. Albattat, Zaid Jabbar Al-allaq, and Ahmed Toman Thahab. "Eulerian video magnification: a review." Indonesian Journal of Electrical Engineering and Computer Science 18, no. 2 (2020): 799. http://dx.doi.org/10.11591/ijeecs.v18.i2.pp799-811.

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<p>Many important subtle changes in the environment are invisible to the naked human eyes. These subtle changes occur because of colour variations, such as blood flow in a human face that leads to face colour change, or motion variations, such as vena movement under human skin and vibration of buildings. The human eye requires optical microscopes to detect these variations. Alternatively, new technologies, such as high-speed imagery and computer processing, can be used to detect these variations. These computerised microscopes depend on computation rather than optical amplification to am

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4

Haider, Ismael Shahadi, J. Albattat Hayder, Jabbar Al-allaq Zaid, and Toman Thahab Ahmed. "Eulerian video magnification: a review." Indonesian Journal of Electrical Engineering and Computer Science (IJEECS) 18, no. 2 (2020): 799–811. https://doi.org/10.11591/ijeecs.v18.i2.pp799-811.

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Анотація:

Many important subtle changes in the environment are invisible to the naked human eyes. These subtle changes occur because of colour variations, such as blood flow in a human face that leads to face colour change, or motion variations, such as vena movement under human skin and vibration of buildings. The human eye requires optical microscopes to detect these variations. Alternatively, new technologies, such as high-speed imagery and computer processing, can be used to detect these variations. These computerised microscopes depend on computation rather than optical amplification to amplify sub

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5

Al-Naji, Ali, and Javaan Chahl. "Contactless Cardiac Activity Detection Based on Head Motion Magnification." International Journal of Image and Graphics 17, no. 01 (2017): 1750001. http://dx.doi.org/10.1142/s0219467817500012.

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The aim of this study is to remotely measure cardiac activity (heart pulse, total cycle length and pulse width) from videos based on a head motion at different positions of the head (front, back and side). As the head motion resulting from the cardiac cycle of blood from the heart to the head via the carotid arteries is not visible to the naked eye and to preserve the signal strength in the video, we used wavelet decomposition and a Chebychev filter to develop a standard Eulerian video magnification in terms of noise removal and execution time. We used both magnification systems to measure car

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6

Elham, Zarezadeh, and Rezaeian Mehdi. "BRAIN Journal - Micro Expression Recognition Using the Eulerian Video Magnification Method." BRAIN - Broad Research in Artificial Intelligence and Neuroscience 7, no. 3 (2016): 43–54. https://doi.org/10.5281/zenodo.1044975.

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ABSTRACT In this paper we propose a new approach for facial micro expressions recognition. For this purpose the Eulerian Video Magnification (EVM) method is used to retrieve the subtle motions of the face. The results of this method are obtained as in the magnified images sequence. In this study the numerical tests are performed on two databases: Spontaneous Micro expression (SMIC) and Category and Sourcing Managers Executive (CASME). We evaluate our proposed method in two phases using the eigenface method. In phase 1 we recognize the type of a micro expression, for example emotional versus un

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7

Yang, Yuanzhao, and Qi Jiang. "A novel bronchoscopic video enhancement and tissue segmentation method based on Eulerian video magnification." Biomedical Signal Processing and Control 91 (May 2024): 106042. http://dx.doi.org/10.1016/j.bspc.2024.106042.

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8

Zhao, Haifeng, Xiaorui Zhang, Dengpan Jiang, and Jin Gu. "Research on Rotating Machinery Fault Diagnosis Based on an Improved Eulerian Video Motion Magnification." Sensors 23, no. 23 (2023): 9582. http://dx.doi.org/10.3390/s23239582.

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Rotating machinery condition monitoring and fault diagnosis are important bases for maintenance decisions, as the vibrations generated during operation are usually imperceptible to the naked eye. Eulerian video motion magnification (EVMM) can reveal subtle changes and has been widely used in various fields such as medicine, structural analysis, and fault diagnosis, etc. However, the method has a bound relationship among three parameters: spatial wavelength, amplification factor, and displacement function, so it is necessary to adjust the parameters manually in practical applications. In this p

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9

Sukmana, Septian Enggar, Nisa'ul Hafidhoh, and Dwi Harini Sulistyawati. "Subtle Changes of Basketball Player in Video Based Euler Method." Journal of Applied Intelligent System 2, no. 2 (2018): 67–72. http://dx.doi.org/10.33633/jais.v2i2.1503.

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Analysing basketball player movement is not performed conventionally recently. Combining science and technology in sport has made a great impact. Basketball player movement analysis using latest technology can achieved by many ways such as retrieving information from video. A video that contains basketball match can be valuable resource to be analysed by computer vision technique. Player movement estimation can be separated into two categories such explicitly or implicitly. Player movement estimation that is performed implicitly is assumed more efficient than explicitly one, but in consequent,

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10

Paschal, O’Gorman, Williams Stefan, Fang Hui, et al. "WED 112 Seeing invisible parkinsonian tremor with a smartphone camera." Journal of Neurology, Neurosurgery & Psychiatry 89, no. 10 (2018): A12.1—A12. http://dx.doi.org/10.1136/jnnp-2018-abn.43.

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Arthur C Clarke’s ‘third law’ states that any sufficiently advanced technology is indistinguishable from magic. Computer vision is the processing of images or video by computer to extract useful information. A technique termed ‘Eulerian magnification’ involves amplification of tiny movements from video recordings, so that very small motions can become visible to the human eye. This has the potential to detect tremor that is of such small amplitude it cannot otherwise be seen. Crucially, the only hardware required is a camera and computer processor, items that are ubiquitous. There is only one

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11

Wang, Fei, Dan Guo, Kun Li, and Meng Wang. "EulerMormer: Robust Eulerian Motion Magnification via Dynamic Filtering within Transformer." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 6 (2024): 5345–53. http://dx.doi.org/10.1609/aaai.v38i6.28342.

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Video Motion Magnification (VMM) aims to break the resolution limit of human visual perception capability and reveal the imperceptible minor motion that contains valuable information in the macroscopic domain. However, challenges arise in this task due to photon noise inevitably introduced by photographic devices and spatial inconsistency in amplification, leading to flickering artifacts in static fields and motion blur and distortion in dynamic fields in the video. Existing methods focus on explicit motion modeling without emphasizing prioritized denoising during the motion magnification proc

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12

Wu, Xiu, Xuezhi Yang, Jing Jin, and Zhao Yang. "Amplitude-Based Filtering for Video Magnification in Presence of Large Motion." Sensors 18, no. 7 (2018): 2312. http://dx.doi.org/10.3390/s18072312.

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Анотація:

Video magnification reveals important and informative subtle variations in the world. These signals are often combined with large motions which result in significant blurring artifacts and haloes when conventional video magnification approaches are used. To counter these issues, this paper presents an amplitude-based filtering algorithm that can magnify small changes in video in presence of large motions. We seek to understand the amplitude characteristic of small changes and large motions with the goal of extracting accurate signals for visualization. Based on spectrum amplitude filtering, th

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13

Sukmana, Septian Enggar, and Farah Zakiyah Rahmanti. "Color Variation from Vehicle on The Road and Its Environment Through Subtle Motion Study Case." Journal of Applied Intelligent System 3, no. 1 (2018): 13–19. http://dx.doi.org/10.33633/jais.v3i1.1835.

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Road accident has been serious case in Indonesia, the big number of the cases is not decreasing for six years. Many ways have been done, one of example is exploiting smart camera or CCTV to observe mocement estimation explicitly or implicitly. One problem is when explicit-based technique is applied, the computation process would take more resource. Implicit-based technique like exploitting processing-based frequency domain must be tried to make a better study and produce more knowledge in this study field. Color magnification can helpful information to support better movement estimation. This

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14

Aureliano, Filipe dos Santos, Alessandro Ferreira Alves, Rodrigo Franklin Frogeri, Wanderson Gomes de Souza, Simone de Paula Teodoro Moreira, and Laísa Cristina Carvalho. "Eulerian Video Magnification for Cleaning and Inspection of Air Conditioning Ducts With Rover Robot." International Journal for Innovation Education and Research 8, no. 3 (2020): 38–47. http://dx.doi.org/10.31686/ijier.vol8.iss3.2176.

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This paper presents a diversied artifice of a Rover robot prototype in order to inspect abnormalities in air conditioning ducts and ventilation through an integrated rotating high-resolution camera system Eulerian Video Magnification is a method capable of revealing temporal variations of a body in videos that are impossible to see with the naked eye. Using this method, it is possible to visualize the flow of microorganisms present in the ducts, in which the images are R.W. transmitted in real time to the operator, allowing the cleaning with rotating brushes that adapt themselves according to

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15

Zhang, Dashan, Andong Zhu, Wenhui Hou, Lu Liu, and Yuwei Wang. "Vision-Based Structural Modal Identification Using Hybrid Motion Magnification." Sensors 22, no. 23 (2022): 9287. http://dx.doi.org/10.3390/s22239287.

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As a promising alternative to conventional contact sensors, vision-based technologies for a structural dynamic response measurement and health monitoring have attracted much attention from the research community. Among these technologies, Eulerian video magnification has a unique capability of analyzing modal responses and visualizing modal shapes. To reduce the noise interference and improve the quality and stability of the modal shape visualization, this study proposes a hybrid motion magnification framework that combines linear and phase-based motion processing. Based on the assumption that

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16

Stogiannopoulos, Thomas, Grigorios-Aris Cheimariotis, and Nikolaos Mitianoudis. "A Study of Machine Learning Regression Techniques for Non-Contact SpO2 Estimation from Infrared Motion-Magnified Facial Video." Information 14, no. 6 (2023): 301. http://dx.doi.org/10.3390/info14060301.

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This work explores the use of infrared low-cost cameras for monitoring peripheral oxygen saturation (SpO2), a vital sign that is particularly important for individuals with fragile health, such as the elderly. The development of contactless SpO2 monitoring utilizing RGB cameras has already proven successful. This study utilizes the Eulerian Video Magnification (EVM) technique to enhance minor variations in skin pixel intensity in particular facial regions. More specifically, the emphasis in this study is in the utilization of infrared cameras, in order to explore the possibility of contactless

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17

Brieva, Jorge, Hiram Ponce, and Ernesto Moya-Albor. "A Contactless Respiratory Rate Estimation Method Using a Hermite Magnification Technique and Convolutional Neural Networks." Applied Sciences 10, no. 2 (2020): 607. http://dx.doi.org/10.3390/app10020607.

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The monitoring of respiratory rate is a relevant factor in medical applications and day-to-day activities. Contact sensors have been used mostly as a direct solution and they have shown their effectiveness, but with some disadvantages for example in vulnerable skins such as burns patients. For this reason, contactless monitoring systems are gaining increasing attention for respiratory detection. In this paper, we present a new non-contact strategy to estimate respiratory rate based on Eulerian motion video magnification technique using Hermite transform and a system based on a Convolutional Ne

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18

Kolosov, Dimitrios, Vasilios Kelefouras, Pandelis Kourtessis, and Iosif Mporas. "Contactless Camera-Based Heart Rate and Respiratory Rate Monitoring Using AI on Hardware." Sensors 23, no. 9 (2023): 4550. http://dx.doi.org/10.3390/s23094550.

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Detecting vital signs by using a contactless camera-based approach can provide several advantages over traditional clinical methods, such as lower financial costs, reduced visit times, increased comfort, and enhanced safety for healthcare professionals. Specifically, Eulerian Video Magnification (EVM) or Remote Photoplethysmography (rPPG) methods can be utilised to remotely estimate heart rate and respiratory rate biomarkers. In this paper two contactless camera-based health monitoring architectures are developed using EVM and rPPG, respectively; to this end, two different CNNs, (Mediapipe’s B

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19

Agnes, Shiny Rachel, M. Pavithra, kumar R. Gokul, and N. S. Lokesh. "Baby Monitoring for SIDS Prevention – IoT." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 3 (2020): 2225–29. https://doi.org/10.35940/ijeat.C5653.029320.

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Sudden Infant Death Syndrome also known as SIDS, is the leading cause of mortality in infants from a month to a year of age. Today's lifestyle is fast-paced. Most of the working parents find a bit of difficulty to manage their work along with their child. So, they leave their baby to the grand-parents of the child. Due to SIDS, the infants have abnormal breathing, body temperature and digestion. In recent years, they use an 'Eulerian magnification' technique to detect the motion of the child. In that, they use a light camera to detect the action of the child and generate an alarm i

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20

Escobedo-Gordillo, Andrés, Jorge Brieva, and Ernesto Moya-Albor. "Non-Contact Oxygen Saturation Estimation Using Deep Learning Ensemble Models and Bayesian Optimization." Technologies 13, no. 7 (2025): 309. https://doi.org/10.3390/technologies13070309.

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Monitoring Peripheral Oxygen Saturation (SpO2) is an important vital sign both in Intensive Care Units (ICUs), during surgery and convalescence, and as part of remote medical consultations after of the COVID-19 pandemic. This has made the development of new SpO2-measurement tools an area of active research and opportunity. In this paper, we present a new Deep Learning (DL) combined strategy to estimate SpO2 without contact, using pre-magnified facial videos to reveal subtle color changes related to blood flow and with no calibration per subject required. We applied the Eulerian Video Magnifica

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21

Zhao, Yue, and Jiancheng Xu. "A Convolutional Neural Network for Compound Micro-Expression Recognition." Sensors 19, no. 24 (2019): 5553. http://dx.doi.org/10.3390/s19245553.

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Human beings are particularly inclined to express real emotions through micro-expressions with subtle amplitude and short duration. Though people regularly recognize many distinct emotions, for the most part, research studies have been limited to six basic categories: happiness, surprise, sadness, anger, fear, and disgust. Like normal expressions (i.e., macro-expressions), most current research into micro-expression recognition focuses on these six basic emotions. This paper describes an important group of micro-expressions, which we call compound emotion categories. Compound micro-expressions

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22

Wadhwa, Neal, Hao-Yu Wu, Abe Davis, et al. "Eulerian video magnification and analysis." Communications of the ACM 60, no. 1 (2016): 87–95. http://dx.doi.org/10.1145/3015573.

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23

Hussain, Yossra, and Ahmed A. Shkara. "Speed up Eulerian Video Motion Magnification." Kurdistan Journal of Applied Research 2, no. 3 (2017): 14–17. http://dx.doi.org/10.24017/science.2017.3.14.

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A standard video can have small video motions that are difficult to see by naked eye because of it limited sensitivity. These hidden signals variation may have highly useful information that can be used in variety of applications fields such as healthcare, biology, mechanical engineering, civil engineering, military and security. Eulerian Video Motion Magnification is a system used to detect and amplified tiny motions in video. This system have a problem with processing time, it consumes too long time to complete the spatial _ temporal analyzing. This paper, proposes a modified approach to Spe

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24

Shahadi, Haider, Zaid Jabbar Al-allaq, and Hayder Jawad Albattat. "Performance Enhancement of Eulerian Video Magnification." International Journal of Computing and Digital Systems 13, no. 1 (2023): 1–15. http://dx.doi.org/10.12785/ijcds/130133.

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25

de Fatima Galvao Rosa, Alessandra, and Roberto Cesar Betini. "Noncontact SpO2 Measurement Using Eulerian Video Magnification." IEEE Transactions on Instrumentation and Measurement 69, no. 5 (2020): 2120–30. http://dx.doi.org/10.1109/tim.2019.2920183.

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26

Haider, Ismael Shahadi, Jabbar Al-allaq Zaid, and Jawad Albattat Hayder. "Developed approach for phase-based Eulerian video magnification." TELKOMNIKA Telecommunication, Computing, Electronics and Control 18, no. 5 (2020): 2391~2400. https://doi.org/10.12928/TELKOMNIKA.v18i5.14321.

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This paper proposes a modification approach for phased-based EVM in order to reduce the processing time without effect the quality of the magnified video. The proposed approach applies a resizing process on the input video using Lanczos-3 algorithm. Then, it decomposes video frames using steerable pyramid to obtain multi-scale frame with its orientation. Subsequently, the resulted frames are filtered by temporal filters for specific bands and the filtered frames are multiplied by a magnification factor. Now, both the magnified regions and the unmagnified regions for each frame are added togeth

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27

Shahadi, Haider Ismael, Zaid Jabbar Al-allaq, and Hayder Jawad Albattat. "Developed approach for phase-based Eulerian video magnification." TELKOMNIKA (Telecommunication Computing Electronics and Control) 18, no. 5 (2020): 2391. http://dx.doi.org/10.12928/telkomnika.v18i5.14321.

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28

Liu, Yuan Fang, Christopher Vuong, Paul Charles Walker, et al. "Noninvasive Free Flap Monitoring Using Eulerian Video Magnification." Case Reports in Otolaryngology 2016 (2016): 1–4. http://dx.doi.org/10.1155/2016/9471696.

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Eulerian Video Magnification (EVM) can enhance subtle changes in videos to reveal what was once invisible to the naked eye. In this proof of concept study, we investigated using EVM as a novel form of free flap monitoring. Free flaps with skin paddles were filmed in the operating room with manipulation of their pedicles. In a representative 77-year-old female who received a latissimus dorsi-serratus-rib composite free flap, EVM was able to detect blockage of arterial or venous supply instantaneously, providing a visible representation through degree of color change in videos. EVM has the poten

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29

Wu, Hao-Yu, Michael Rubinstein, Eugene Shih, John Guttag, Frédo Durand, and William Freeman. "Eulerian video magnification for revealing subtle changes in the world." ACM Transactions on Graphics 31, no. 4 (2012): 1–8. http://dx.doi.org/10.1145/2185520.2185561.

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30

Kayani, M., M. M. Riaz, A. Ghafoor, and N. Iltaf. "An Efficient Eulerian Video Magnification Technique for Micro-biology Applications." Radioengineering 26, no. 1 (2017): 316–22. http://dx.doi.org/10.13164/re.2017.0316.

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31

Al-Naji, Ali, and Javaan Chahl. "Noncontact Heart Activity Measurement System Based on Video Imaging Analysis." International Journal of Pattern Recognition and Artificial Intelligence 31, no. 02 (2017): 1757001. http://dx.doi.org/10.1142/s0218001417570014.

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Vital parameter monitoring systems based on video camera imagery is a growing interest field in clinical and biomedical applications. Heart rate (HR) is one of the most important vital parameters of interest in a clinical diagnostic and monitoring system. This study proposed a noncontact HR and beat length measurement system based on both motion magnification and motion detection at four different regions of interest (ROIs) (wrist, arm, neck and leg). A motion magnification based on a Chebyshev filter was utilized in order to magnify heart pulses in different ROIs that are difficult to see wit

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32

Adleberg, Jason, Ashley P. O'Connell Ferster, Daniel A. Benito, and Robert T. Sataloff. "Detection of Muscle Tension Dysphonia Using Eulerian Video Magnification: A Pilot Study." Journal of Voice 34, no. 4 (2020): 622–28. http://dx.doi.org/10.1016/j.jvoice.2019.02.006.

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33

Vaishali, Purude Narayanrao, and P. Lalitha Surya Kumari. "Predicting Depression Risk from Facial Video-Derived Heart Rate Estimates." Revue d'Intelligence Artificielle 37, no. 4 (2023): 997–1004. http://dx.doi.org/10.18280/ria.370421.

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Common mental disorder is caused due to depression. Medical study shows that heart rate is linked to depression. Heart rate can give early warning of potential depression. Heart rate could predict the risk of depression. This link helps diagnosis and treatment of mental health issues like depression. Heart rate of healthy person is 60-85 beats per minute. When a person is depressed, his heart rate is not in normal range. Heart rate of depressed human being is increased beyond 85 beats per minute. Depression can be predicted with a 90% accuracy by analyzing a person’s heart rate. Using Eulerian

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34

Zheng, Jiayan, Qiumo Li, Ruoyu Mao, Yuzhou Wang, and Zhixiang Zhou. "Bridge Vibration Virtual Sensor Based on Eulerian Video Magnification and Gray Mean Difference." IOP Conference Series: Materials Science and Engineering 964 (November 21, 2020): 012026. http://dx.doi.org/10.1088/1757-899x/964/1/012026.

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35

Williams, Stefan, Hui Fang, Samuel D. Relton, Christopher D. Graham, and Jane E. Alty. "Seeing the unseen: Could Eulerian video magnification aid clinician detection of subclinical Parkinson’s tremor?" Journal of Clinical Neuroscience 81 (November 2020): 101–4. http://dx.doi.org/10.1016/j.jocn.2020.09.046.

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36

Van Hillegondsberg, Ludo, Jonathan Carr, Naeem Brey, and Franclo Henning. "Using Eulerian video magnification to enhance detection of fasciculations in people with amyotrophic lateral sclerosis." Muscle & Nerve 56, no. 6 (2017): 1063–67. http://dx.doi.org/10.1002/mus.25690.

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37

Qiu, Qiwen. "Automated defect detection in FRP-bonded structures by Eulerian video magnification and adaptive background mixture model." Automation in Construction 116 (August 2020): 103244. http://dx.doi.org/10.1016/j.autcon.2020.103244.

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38

Stogiannopoulos, Thomas, and Nikolaos Mitianoudis. "Non-Contact Blood Pressure Estimation Using Forehead and Palm Infrared Video." BioMedInformatics 4, no. 1 (2024): 437–53. http://dx.doi.org/10.3390/biomedinformatics4010025.

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Анотація:

This study investigates the potential of low-cost infrared cameras for non-contact monitoring of blood pressure (BP) in individuals with fragile health, particularly the elderly. Previous research has shown success in developing non-contact BP monitoring using RGB cameras. In this study, the Eulerian Video Magnification (EVM) technique is employed to enhance minor variations in skin pixel intensity in specific facial regions captured by an infrared camera from the forehead and palm. The primary focus of this study is to explore the possibility of using infrared cameras for non-contact BP monit

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Taj-Eddin, Islam A. T. F. "Can we see photosynthesis? Magnifying the tiny color changes of plant green leaves using Eulerian video magnification." Journal of Electronic Imaging 26, no. 06 (2017): 1. http://dx.doi.org/10.1117/1.jei.26.6.060501.

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Alarifi, Abdulaziz, Amr Tolba, and Azza S. Hassanein. "Visualization process assisted by the Eulerian video magnification algorithm for a heart rate monitoring system: mobile applications." Multimedia Tools and Applications 79, no. 7-8 (2018): 5149–60. http://dx.doi.org/10.1007/s11042-018-6313-x.

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Qi, Jing Jia, Chuan Jun Guo, and Yang Nan. "Study on Application of Super-Resolution Image Reconstruction Method Used in Video Image Processing." Advanced Materials Research 476-478 (February 2012): 1142–45. http://dx.doi.org/10.4028/www.scientific.net/amr.476-478.1142.

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Анотація:

Super resolution image reconstruction is a computational process of using multiple low-resolution observations to reconstruct a higher resolution image, which differs from improvement of optical devices. With magnification diversity among those low-resolution imagers, significant performance improvement, compared to traditional methods, is demonstrated. Results include fidelity metrics and simulated reconstructions. Performance improvement of super-resolution imaging systems with magnification diversity is studied in this paper.

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Choi, Andrew Jaeyong, and Jae-Hung Han. "Frequency-based damage detection in cantilever beam using vision-based monitoring system with motion magnification technique." Journal of Intelligent Material Systems and Structures 29, no. 20 (2018): 3923–36. http://dx.doi.org/10.1177/1045389x18799961.

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Анотація:

This article proposes a method for damage detection using vision-based monitoring with motion magnification technique. The methods based on the vibration characteristics of structures such as natural frequency, mode shapes, and modal damping have been applied to structural damage detection. However, the conventional methods have limitations for practical applications. Vision-based monitoring system can be employed as a new structural monitoring system because of its simplicity, potentially low cost, and unique capability of collecting high-resolution data. A methodology called video motion mag

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Wu, Xiu, Xuezhi Yang, Jing Jin, and Zhao Yang. "PCA-based magnification method for revealing small signals in video." Signal, Image and Video Processing 12, no. 7 (2018): 1293–99. http://dx.doi.org/10.1007/s11760-018-1282-0.

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Khomidov, Mavlonbek, Deokwoo Lee, and Jong-Ha Lee. "A Novel Contactless Blood Pressure Measurement System and Algorithm Based on Vision Intelligence." Electronics 12, no. 24 (2023): 4898. http://dx.doi.org/10.3390/electronics12244898.

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Анотація:

The measurement of vital signs such as blood pressure plays a key role in human health. Usually, we encounter some problems when we check them in the traditional way; for example, it is impossible to check continuously, and measuring vital signs requires direct contact with the patient, which can be uncomfortable for certain individuals. In this research, we present a vision-based system for estimating blood pressure using pulse transit time (PTT) and the Eulerian video magnification (EVM) technique to amplify tiny color variations caused by blood flow to calculate arterial pulse waves traveli

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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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Анотація:

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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Naber, Ady, and Werner Nahm. "Video magnification for intraoperative assessment of vascular function." Current Directions in Biomedical Engineering 3, no. 2 (2017): 175–78. http://dx.doi.org/10.1515/cdbme-2017-0036.

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AbstractIn neurovascular surgery the intraoperative fluorescence angiography has been proven to be a reliable contact-free optical imaging technique to visualize vascular blood-flow. This angiography is obtained by injecting a fluorescence dye e.g. indocyanine green and using an infrared camera system to visualize the fluorescence inside the vessel. Obviously this requires a medical approved dye and an additional camera setup and therefore generating risks and costs. Hence, the aim of our research is to develop a comparable technique for assessing the vascular function. This approach would not

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Bell, L. B., F. A. Hopp, J. L. Seagard, H. F. Van Brederode, and J. P. Kampine. "A continuous noncontact method for measuring in situ vascular diameter with a video camera." Journal of Applied Physiology 64, no. 3 (1988): 1279–84. http://dx.doi.org/10.1152/jappl.1988.64.3.1279.

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A new, continuous, on-line, video diameter-measuring technique, utilizing a video camera mounted on the sidearm of a stereo microscope, is described. Vessel diameter is derived from changes in the video output signal of the camera or a video recorder when the vessel of interest is displayed horizontally on a monitor and well contrasted with its background. A comparator threshold is set on the filtered video output signal and generates an output pulse that is used to gate horizontal video sync pulses to a digital counter-timer. The number of pulses counted for each video field (no. of horizonta

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Wei, Mengting, Xingxun Jiang, Wenming Zheng, Yuan Zong, Cheng Lu, and Jiateng Liu. "CMNet: Contrastive Magnification Network for Micro-Expression Recognition." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 1 (2023): 119–27. http://dx.doi.org/10.1609/aaai.v37i1.25083.

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Анотація:

Micro-Expression Recognition (MER) is challenging because the Micro-Expressions' (ME) motion is too weak to distinguish. This hurdle can be tackled by enhancing intensity for a more accurate acquisition of movements. However, existing magnification strategies tend to use the features of facial images that include not only intensity clues as intensity features, leading to the intensity representation deficient of credibility. In addition, the intensity variation over time, which is crucial for encoding movements, is also neglected. To this end, we provide a reliable scheme to extract intensity

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Duan, Da-You, K. S. C. Kuang, Zuo-Cai Wang, and Xiao-Tong Sun. "Video Motion Magnification and Subpixel Edge Detection-Based Full-Field Dynamic Displacement Measurement." Structural Control and Health Monitoring 2023 (September 8, 2023): 1–25. http://dx.doi.org/10.1155/2023/7904198.

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Noncontact measurement techniques in structural dynamics field have progressed significantly in the past few decades. Vision-based measurement techniques are unique in that they have the ability to achieve full-field measurement and possess the typical advantages associated with noncontact measurement techniques. Recently, vision-based techniques have also been applied to streaming of videos for structural dynamic displacement measurement. The most recent trends in vision-based measurements include target tracing, digital image correlation, and target-less approaches. There are, however, some

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Zhang, Yu Chun, and Wei Zou. "Simulation and Experiment of Residence Time Distribution in Short-Contact Cyclone Reactors." Applied Mechanics and Materials 672-674 (October 2014): 1622–25. http://dx.doi.org/10.4028/www.scientific.net/amm.672-674.1622.

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Анотація:

The Eulerian-Eulerian model and species transport method were used for the residence time distribution (RTD) predictions of the short-contact cyclone reactor. A video camera and colored particle tracer were employed in the experiment. The component concentration distribution and RTD characteristics were analyzed. The results indicate that the vacuum gas oil (VGO) and catalysts flow down spirally along the wall and the gasoline and dry gas are mostly in the central part, so the VGO has more contact time with catalysts than other gas components. The RTDs indicate that there exists vortex, backfl

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