Готові списки джерел за темами / Eulerian Video Magnification Method

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Добірка наукової літератури з теми "Eulerian Video Magnification Method"

Автор: Grafiati

Опубліковано: 3 червня 2025

Оновлено: 31 липня 2025

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Статті в журналах з теми "Eulerian Video Magnification Method"

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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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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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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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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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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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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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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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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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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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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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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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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Більше джерел

Дисертації з теми "Eulerian Video Magnification Method"

Bernátek, Pavel. "Vizualizace pulzu ve videozáznamu obličeje." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2016. http://www.nusl.cz/ntk/nusl-242090.

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In the semestral thesis is given basic methods of non-contact measurement heart rate. There is explained Eulerian video magnification method deals with the visualization of the pulse in the videosequence of face. The semestral thesis describes algorithm Viola-Jones face detection in images and algorithm Kanade-Lucas-Tomasi for tracking faces in the videosequence. Part of the work includes design and realization of measurement. There is explained realization of the program and documented execution results, which are discussed. From the results it is designed to guide for optimal recording.

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Rantamäki, Suvi. "Realtidsimplementation av metod för att förbättra kontrasten mellan blod- och kärlvävnad vid ultraljudsundersökning : Eulerian Video Magnification implementering på ultraljudssystemet Ultrasonix." Thesis, Umeå universitet, Institutionen för tillämpad fysik och elektronik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-136264.

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I en vanlig ultraljudsbild har man låg kontrast mellan vävnader som har en liknande akustisk impendans. Detta orsakar problem när man försöker detektera plack i kärlen som har liknande akustisk impedans som blodet. Dessa plack är ofta de som är farliga för en människa eftersom de kan orsaka en stroke eller infarkt. Projektets mål är att implementera en videobehandlingsmetod som ska förbättra kontrasten mellan blod och kärlvävnad i realtid. Denna ska implementeras på ultraljudssystemet från Ultrasonix. Detta ska hjälpa sjukvårdpersonalen att bättre kunna se skillnaden mellan de olika vävnaderna

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Alghoul, Karim. "Heart Rate Variability Extraction from Video Signals." Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/33003.

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Heart Rate Variability (HRV) analysis has been garnering attention from researchers due to its wide range of applications. Medical researchers have always been interested in Heart Rate (HR) and HRV analysis, but nowadays, investigators from variety of other fields are also probing the subject. For instance, variation in HR and HRV is connected to emotional arousal. Therefore, knowledge from the fields of affective computing and psychology, can be employed to devise machines that understand the emotional states of humans. Recent advancements in non-contact HR and HRV measurement techniques wil

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Chavali, Gautam Krishna, Sai Kumar N. V. Bhavaraju, Tushal Adusumilli, and VenuGopal Puripanda. "Micro-Expression Extraction For Lie Detection Using Eulerian Video (Motion and Color) Magnication." Thesis, Blekinge Tekniska Högskola, Institutionen för tillämpad signalbehandling, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3467.

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Lie-detection has been an evergreen and evolving subject. Polygraph techniques have been the most popular and successful technique till date. The main drawback of the polygraph is that good results cannot be attained without maintaining a physical contact, of the subject under test. In general, this physical contact would induce extra consciousness in the subject. Also, any sort of arousal in the subject triggers false positives while performing the traditional polygraph based tests. With all these drawbacks in the polygraph, also, due to rapid developments in the fields of computer vision and

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Chambino, Pedro. "Android-based implementation of Eulerian Video Magnification for vital signs monitoring." Dissertação, 2013. http://hdl.handle.net/10216/76191.

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Chambino, Pedro Boloto. "Android-based implementation of Eulerian Video Magnification for vital signs monitoring." Master's thesis, 2013. https://repositorio-aberto.up.pt/handle/10216/68234.

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Chambino, Pedro Boloto. "Android-based implementation of Eulerian Video Magnification for vital signs monitoring." Dissertação, 2013. https://repositorio-aberto.up.pt/handle/10216/68234.

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Частини книг з теми "Eulerian Video Magnification Method"

Liang, Zhen-yu, Hao-long Chen, Jia-hao Hua, and Yi-chuan Deng. "A Eulerian Video Magnification Based Structural Damage Identification Method for Scaffold." In Lecture Notes in Operations Research. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-5256-2_88.

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Wei, Yang, Nadezhda Gracheva, and John Tudor. "A Non-invasive Subtle Pulse Rate Extraction Method Based on Eulerian Video Magnification." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-29933-0_38.

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Ramya Marie, S., and J. Anudev. "Response Analysis of Eulerian Video Magnification." In Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB). Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-00665-5_66.

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Huang, Bo-Yu, and Chi-Lun Lin. "Improvement of Environment and Camera Setting on Extraction of Heart Rate Using Eulerian Video Magnification." In IFMBE Proceedings. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30636-6_52.

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Ruiz-Laguado, Carolina, Martha Lucia Zequera-Diaz, and Francisco Carlos Calderón-Bocanegra. "Identification of Atypical Cardiac Patterns Before and After Exercising Using Artificial Intelligence and Eulerian Video Magnification." In IFMBE Proceedings. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-49062-0_57.

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Jehan-Besson, Stéphanie, Michel Barlaud, and Gilles Aubert. "DREAM2S: Deformable Regions Driven by an Eulerian Accurate Minimization Method for Image and Video Segmentation." In Computer Vision — ECCV 2002. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-47977-5_24.

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Тези доповідей конференцій з теми "Eulerian Video Magnification Method"

Andrade, Adriano F., Guilherme Silva, Pedro Silva, Dênis Oliveira, Gladston Moreira, and Eduardo Luz. "Exploring Remote Cardiac Signals for Biometric Verification: A Study Using Eulerian Video Magnification." In 2024 IEEE Latin American Conference on Computational Intelligence (LA-CCI). IEEE, 2024. https://doi.org/10.1109/la-cci62337.2024.10814755.

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Sun, Shuifa, Ming Cheng, and Yuan Guo. "Dual Attention Mechanisms-Embedded Deep Learning Method for Video Subtle Motion Magnification." In 2025 4th International Symposium on Computer Applications and Information Technology (ISCAIT). IEEE, 2025. https://doi.org/10.1109/iscait64916.2025.11010620.

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Fan, Wenkang, Zhuohui Zheng, Wankang Zeng, et al. "A new Eulerian temporal filtering method for boosting endoscopic video motion magnification." In Image-Guided Procedures, Robotic Interventions, and Modeling, edited by Cristian A. Linte and Jeffrey H. Siewerdsen. SPIE, 2021. http://dx.doi.org/10.1117/12.2581934.

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Bennett, Stephanie L., Rafik Goubran, and Frank Knoefel. "Adaptive eulerian video magnification methods to extract heart rate from thermal video." In 2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA). IEEE, 2016. http://dx.doi.org/10.1109/memea.2016.7533818.

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Souza, Jhonatan, Claudemir Casa, and André Roberto Ortoncelli. "Analysis of a Video-Based Pain Monitoring System in Raspberry Pi." In Workshop de Visão Computacional. Sociedade Brasileira de Computação - SBC, 2021. http://dx.doi.org/10.5753/wvc.2021.18913.

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This work presents an analysis of the efficiency and effectiveness of a Video-Based Pain Monitoring System running on a Raspberry selected because it is a cheap device that can be easily carried around. The objective of the evaluated system is to allow the assessment of pain based on two characteristics: Heart Rate (HR) and facial expressions detected through the Facial Action Coding System (FACS). To measure HR an Eulerian Video Magnification (EVM) based method was implemented. EVM is one of the main current approaches to measure HR by Remote PhotoPlethysmoGraphy. FACS was used to detect pain

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Liu, Le, Le Lu, Jingjing Luo, Jun Zhang, and Xiuhong Chen. "Enhanced Eulerian video magnification." In 2014 7th International Congress on Image and Signal Processing (CISP). IEEE, 2014. http://dx.doi.org/10.1109/cisp.2014.7003748.

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Zhang, Kening, Xi Jin, and An Wu. "Accelerating Eulerian Video magnification using FPGA." In 2017 19th International Conference on Advanced Communication Technology (ICACT). IEEE, 2017. http://dx.doi.org/10.23919/icact.2017.7890151.

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Pino, Julio, Juan Cuevas, Felipe Escudero, Pedro Reszka, and Andres Fuentes. "Soot propensity detection by Eulerian video magnification." In 2017 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). IEEE, 2017. http://dx.doi.org/10.1109/i2mtc.2017.7969882.

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Rizvi, Syed Raazi, and Shahryar Rahnamayan. "Interactive Evolutionary Parameter Optimization for Eulerian Video Magnification." In 2018 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 2018. http://dx.doi.org/10.1109/ssci.2018.8628652.

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Pramod, Meshram Rohit, Somnath Tandale, Mittal Mudit Mukul, Patel Subham Chintamani, and More Udit Milind. "Remote Heart Ailment Detection using Eulerian Video Magnification." In 2023 International Conference on Advanced Computing Technologies and Applications (ICACTA). IEEE, 2023. http://dx.doi.org/10.1109/icacta58201.2023.10392739.

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