Relevant bibliographies by topics / Visual data capture

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Visual data capture'

Author: Grafiati
Published: 5 June 2025
Last updated: 16 July 2025

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Journal articles on the topic "Visual data capture"

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Peters, Maybelle. "Using data as materiality." Animation Practice, Process & Production 12, no. 1 (2023): 161–83. http://dx.doi.org/10.1386/ap3_00048_1.

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In this article, I discuss how an analysis of creating human avatars has been a catalyst for developing a critically engaged use of motion capture data. I demonstrate how my moving image practice responds to motion capture technology processes. This development of a methodological framework has been used to rethink how I construct virtual animated figures. Each stage of making considers data as a piece of interpretive information to create animation. I have examined three phases of production. They are integral to the fabrication, construction and mediation of digital humans found in motion ca
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Zega, Selly Artaty, Ahmad Saropi, Timothy Ronaldy, Yogi Ilhami, and Muhammad Farabi. "Mengatasi Data Error Pada Proses Data Cleaning Motion Capture Motive Optitrack." JOURNAL OF APPLIED MULTIMEDIA AND NETWORKING 6, no. 1 (2022): 89–94. http://dx.doi.org/10.30871/jamn.v6i1.4210.

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Motion capture adalah sebuah teknologi dalam industri multimedia yang berguna untuk merekam gerakan secara digital dengan menggunakan metode sensor.Teknologi motion capture semakin berkembang dari waktu ke waktu, motion capture sudah digunakan di beberapa produk digital seperti game, efek visual, dan film animasi.pada proses perekaman gerakan, motion capture menggunakan sensor optik atau sensor magnet, langkah selanjutnya adalah proses pembersihan data.proses pembersihan data akan membersihkan noise atau kesalahan gerakan. Menggunakan motion capture akan membuat proses produksi lebih cepat kar
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Bernard, Jürgen, Eduard Dobermann, Anna Vögele, Björn Krüger, Jörn Kohlhammer, and Dieter Fellner. "Visual-Interactive Semi-Supervised Labeling of Human Motion Capture Data." Electronic Imaging 2017, no. 1 (2017): 34–45. http://dx.doi.org/10.2352/issn.2470-1173.2017.1.vda-387.

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Takaiwa, Akiko, Hirokazu Yoshimura, Hirofumi Abe, and Satoshi Terai. "Radical “Visual Capture” Observed in a Patient with Severe Visual Agnosia." Behavioural Neurology 14, no. 1-2 (2003): 47–53. http://dx.doi.org/10.1155/2003/404087.

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We report the case of a 79-year-old female with visual agnosia due to brain infarction in the left posterior cerebral artery. She could recognize objects used in daily life rather well by touch (the number of objects correctly identified was 16 out of 20 presented objects), but she could not recognize them as well by vision (6 out of 20). In this case, it was expected that she would recognize them well when permitted to use touch and vision simultaneously. Our patient, however, performed poorly, producing 5 correct answers out of 20 in the Vision-and-Touch condition. It would be natural to thi
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Kessler, Ron. "Robotic Crawlers For Visual Testing." Materials Evaluation 82, no. 7 (2024): 34–39. http://dx.doi.org/10.32548/2024.me-04448.

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Modern robotic crawlers provide a means of safe and effective remote data capture, reducing confined space entries, minimizing data collection times, enhancing inspection data quality, and optimizing overall inspection spend.
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Pandule, Shradha. "Implementation Towards Enhanced Visual Proof of Identity: Keystroke Tracking-Robust System with Dual-Keypad Security." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem47627.

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Abstract: - The project focuses on developing an advanced authentication mechanism to counteract the growing threat of keylogging attacks. Keylogging, a type of cyber-attack that captures keystrokes to steal sensitive information, poses a significant risk to traditional authentication methods that rely on keyboard input. This project introduces a novel security approach combining two key innovations: a dual-keypad input system and a visual authentication protocol. The dual-keypad system consists of two separate input keypad (Normal Keypad and Virtual Keypad), each responsible for a different a
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Wang, Youjia, Yiwen Wu, Hengan Zhou, et al. "Capturing the Unseen: Vision-Free Facial Motion Capture Using Inertial Measurement Units." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 8 (2025): 8096–104. https://doi.org/10.1609/aaai.v39i8.32873.

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We present Capturing the Unseen (CAPUS), a novel facial motion capture (MoCap) technique that operates without visual signals. CAPUS leverages miniaturized Inertial Measurement Units (IMUs) as a new sensing modality for facial motion capture. While IMUs have become essential in full-body MoCap for their portability and independence from environmental conditions, their application in facial MoCap remains underexplored. We address this by customizing micro-IMUs, small enough to be placed on the face, and strategically positioning them in alignment with key facial muscles to capture expression dy
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Sipos, Maurice L., and Richard E. Sweeney. "Behavioral data management using visual basic for applications to automate data capture and analysis." Journal of Neuroscience Methods 128, no. 1-2 (2003): 53–65. http://dx.doi.org/10.1016/s0165-0270(03)00150-x.

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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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Lichtenauer, Jeroen, Jie Shen, Michel Valstar, and Maja Pantic. "Cost-effective solution to synchronised audio-visual data capture using multiple sensors." Image and Vision Computing 29, no. 10 (2011): 666–80. http://dx.doi.org/10.1016/j.imavis.2011.07.004.

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Dissertations / Theses on the topic "Visual data capture"

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Folio, David. "Stratégies de commande référencées multi-capteurs et gestion de la perte du signal visuel pour la navigation d’un robot mobile." Toulouse 3, 2007. http://www.theses.fr/2007TOU30253.

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L'amélioration des capteurs a permis l'émergence de la commande référencée capteurs qui permet la réalisation de diverses tâches de navigation de façon précises. L'intention de cette thèse est de contribuer à définir des stratégies de commande référencées multicapteurs pour un robot mobile réalisant une tâche référencée vision dans un environnement encombré d'obstacles susceptibles d'occulter le motif visuel. Nous avons ainsi proposé des lois de commandes permettant d'éviter à la fois les occultations et les collisions. Toutefois,les résultats obtenus ont montré que chercher à éviter simultané
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Seba, Ali. "Fusion de données capteurs visuels et inertiels pour l'estimation de la pose d'un corps rigide." Thesis, Versailles-St Quentin en Yvelines, 2015. http://www.theses.fr/2015VERS020V/document.

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Cette thèse traite la problématique d'estimation de la pose (position relative et orientation) d'un corps rigide en mouvement dans l’espace 3D par fusion de données issues de capteurs inertiels et visuels. Les mesures inertielles sont fournies à partir d’une centrale inertielle composée de gyroscopes 3 axes et d’accéléromètres 3 axes. Les données visuelles sont issues d’une caméra. Celle-ci est positionnée sur le corps rigide en mouvement, elle fournit des images représentatives du champ visuel perçu. Ainsi, les mesures implicites des directions des lignes, supposées fixes dans l’espace de la
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Gokhool, Tawsif Ahmad Hussein. "Cartographie dense basée sur une représentation compacte RGB-D dédiée à la navigation autonome." Thesis, Nice, 2015. http://www.theses.fr/2015NICE4028/document.

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Dans ce travail, nous proposons une représentation efficace de l’environnement adaptée à la problématique de la navigation autonome. Cette représentation topométrique est constituée d’un graphe de sphères de vision augmentées d’informations de profondeur. Localement la sphère de vision augmentée constitue une représentation égocentrée complète de l’environnement proche. Le graphe de sphères permet de couvrir un environnement de grande taille et d’en assurer la représentation. Les "poses" à 6 degrés de liberté calculées entre sphères sont facilement exploitables par des tâches de navigation en
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Zhou, Shuting. "Navigation of a quad-rotor to access the interior of a building." Thesis, Compiègne, 2015. http://www.theses.fr/2015COMP2237.

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Ce travail de recherche est dédié à l’élaboration d’une stratégie de navigation autonome qui comprend la génération d’une trajectoire optimale en évitant des obstacles, la détection de l’objet d’intérêt spécifique (i.e. une fenêtre) et puis l’exécution de la manoeuvre postérieure à approcher la fenêtre et enfin accéder à l’intérieur du bâtiment. Le véhicule est navigué par un système de vision et une combinaison de capteurs inertiels et d’altitude, ce qui réalise une localisation relative du quadri-rotor par rapport à son environment. Une méthode de planification de trajectoire basée sur Model
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Saraee, Elham. "Data analytics for image visual complexity and kinect-based videos of rehabilitation exercises." Thesis, 2019. https://hdl.handle.net/2144/37094.

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With the recent advances in computer vision and pattern recognition, methods from these fields are successfully applied to solve problems in various domains, including health care and social sciences. In this thesis, two such problems, from different domains, are discussed. First, an application of computer vision and broader pattern recognition in physical therapy is presented. Home-based physical therapy is an essential part of the recovery process in which the patient is prescribed specific exercises in order to improve symptoms and daily functioning of the body. However, poor adherence to
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Books on the topic "Visual data capture"

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Rawlinson, Jules. A Requiem for Edward Snowden. University of Edinburgh, 2024. http://dx.doi.org/10.2218/ed.9781836450566.

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A Requiem for Edward Snowden is a 50-minute audio-visual work by Matthew Collings and Jules Rawlinson which addresses surveillance, data privacy, loss of faith, moral choice, and personal sacrifice in an environment where we are totally reliant on electronic communication and daily routines; and in which our privacy is routinely compromised. The work is performed by a chamber trio comprising violin, cello and clarinet, with live electronics and live visuals. The work is multi-layered and textured, both sonically and visually, and includes computer generated, fixed-media and live captured image
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Dimendberg, Edward, ed. The Moving Eye. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780190218430.001.0001.

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Once the province of film and media scholars, today the moving image concerns historians of art and architecture and designers of everything from websites to cities. As museums and galleries devote increasing space to video installations that no longer presuppose a fixed viewer, urban space becomes envisioned and planned through “fly-throughs,” and technologies such as GPS add data to the experience of travel, images in motion have captured the attention of geographers and scholars across the humanities and social sciences. Mobility studies is remaking how we understand a contemporary world in
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Book chapters on the topic "Visual data capture"

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Ferrydiansyah, Reza, and Charles B. Owen. "Natural Pose Generation from a Reduced Dimension Motion Capture Data Space." In Advances in Visual Computing. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10331-5_49.

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Železný, Miloš, Zdeněk Krňoul, and Pavel Jedlička. "Analysis of Facial Motion Capture Data for Visual Speech Synthesis." In Speech and Computer. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23132-7_10.

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Bakken, Rune Havnung. "Using Synthetic Data for Planning, Development and Evaluation of Shape-from-Silhouette Based Human Motion Capture Methods." In Advances in Visual Computing. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33179-4_40.

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Dardanou, Maria, Ioanna Palaiologou, and Sarika Kewalramani. "Not Just Data: Analysing Visual Narratives of Children in Research and the Quest for “Micro-ethical” Moments." In Cultural-historical Digital Methodology in Early Childhood Settings. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-59785-5_10.

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AbstractThe chapter is based on a transnational small-scale research project in England, Norway, and Australia. The project aimed to examine how children are using IoToys at home with make-believe play and to investigate types of interactions/behaviours within their make-believe play in digital playscapes. Using digital methods for data collection based on visual methodologies principles, underpinning the synergy of cultural-historical theory and schema play concepts, we analyse digital episodes of children’s play with IoToys to demonstrate our analytical protocol. We discuss the complexities of visually capturing children’s lived experiences. Finally, we examine some of the challenges of analysing audio and visual recordings and conclude by suggesting that visual methodologies offer potentialities for rich data that capture the lived experiences of children but require to be approached as a cultural tool where the researchers should seek for signs, schemes, symbols and ethical “micro-moments”.
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Su, Zhuo, Lan Xu, Zerong Zheng, Tao Yu, Yebin Liu, and Lu Fang. "RobustFusion: Human Volumetric Capture with Data-Driven Visual Cues Using a RGBD Camera." In Computer Vision – ECCV 2020. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58548-8_15.

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Cai, Yue, Hui Chen, Xuange Zhu, Wenquan Gan, Bo Liu, and Haohao Xu. "Research on Visual Elements of Spatial Experience in Historical and Cultural Districts Based on Eye Movement Analysis." In Computational Design and Robotic Fabrication. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-3433-0_41.

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Abstract Under the background of new urbanization, protection historical and cultural districts is crucial to the urban development. The purpose of this study is to explore the public’s visual preference for block space, providing empirical insights and technological innovation for protection and regeneration. A hybrid method of environmental behavior and evidence-based design theory is used to capture the visual behavior of participants in virtual reality through eye tracking technology, revealing perceptual experience and choice preference. Focused on representative historical and cultural districts in Changsha, our investigation delves into the nuanced interplay between design elements imbued with cultural significance such as architectural style, facade materials, color palettes, and street layouts and their capacity to captivate visual attention within these urban enclaves. The analysis highlights the pivotal role of culturally characteristic design elements in engaging visual interest in these districts. Furthermore, data comparison reveals a strong correlation between visual appeal, emotional resonance, and cultural identity. These insights provide a scientific basis for strategies to preserve and regenerate historic and cultural districts. This study quantitatively analyzes the challenges of block space design from a humanistic perspective. In the renewal of historical and cultural blocks, designers need to emphasize the display of historical and cultural elements in buildings and protect historical buildings in order to realize the effective inheritance and activation of blocks.
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O’Connor, Gillian, Glykeria Fragkiadaki, Marilyn Fleer, and Prabhat Rai. "The Use of Digital Artifacts to Analyse Science Concept Formation in Very Young Children." In Cultural-historical Digital Methodology in Early Childhood Settings. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-59785-5_8.

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AbstractResearch examining conceptual development in pre-school age children has relied predominantly on children’s verbal responses and interactions. During infancy, however, immature verbal language skills limit the use of such commonly used methods. Studying infants and toddlers during the pandemic has added new challenges to this unique and highly demanding research area. In this chapter, we showcase how digital visual methods, developed and introduced in response to this methodological ‘crisis’, offer researchers a means through which many of the challenges inherent in studying very young children, can be overcome. To highlight the affordances of using digital artefacts to analyse very young children’s concept formation, the chapter focuses on science concept formation, during infancy and toddlerhood. Indicative examples from the implementation of a Conceptual PlayWorld as an educational experiment (see Chap. 2) offer illustrative examples of digital data analysis with children aged 8 to 36 months. It is shown that using digital artefacts, subtleties of development reflected in physical movement and interactions (e.g., gestures, embodied peer interactions), can be captured and later analysed. Key points researchers using digital artefacts, are able to look for, capture, and dialectically interrelate when analysing concept formation in very young children specifically are highlighted. We argue that digital artifacts allow the digital recreation of the body shading light to new dimensions of the child’s experience in science and opening a space for reflection for researchers. Consequently, adopting a dialectical lens in analyzing digital data, possible insight into the process of concept formation as it occurs for very young, non-verbal children, is afforded.
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Boeing, Niels. "The Fab City Index." In Global collaboration, local production. Springer Fachmedien Wiesbaden, 2024. http://dx.doi.org/10.1007/978-3-658-44114-2_9.

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AbstractThe Fab City approach means that an urban economy is gradually developing into a fully circular economy until 2054, where local demand is met by local production. However, it is unclear at which point a Fab City currently is in this transition. The concept of the Fab City Index is a measure that could somehow quantify its state. It was first developed in France in 2018. The Fab City Index toolkit aims to capture how different economic sectors are performing with regards to the Fab City goal of a fully circular economy and to make this self-sufficiency comparable among existing Fab Cities. However, the French approach is closed source. Thus, we describe an alternative approach based on publicly available data taking Hamburg as an example, and we identify 16 macro-sectors whose development could inform a Fab City strategy. Preliminary results show that Hamburg still has a long way to go, though there is potential for self-sufficiency in some sectors. Measuring consumption and recycling thoroughly should be a high priority. A visual tool like the Fab City Dashboard could document the progress being made. The insights can inform both city administrations in deciding which sectors should be strengthened and statistical offices in expanding their future data collection.
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Saha, Anirban, Suman Kumar Maji, and Hussein Yahia. "A Review on Despeckling of the Earth's Surface Visuals Captured by Synthetic Aperture Radar." In Multimedia Data Processing and Computing. CRC Press, 2023. http://dx.doi.org/10.1201/9781003391272-1.

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Belcore, Elena, Vincenzo Di Pietra, Nives Grasso, et al. "Towards a FOSS Automatic Classification of Defects for Bridges Structural Health Monitoring." In Communications in Computer and Information Science. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-94426-1_22.

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AbstractBridges are among the most important structures of any road network. During their service life, they are subject to deterioration which may reduce their safety and functionality. The detection of bridge damage is necessary for proper maintenance activities. To date, assessing the health status of the bridge and all its elements is carried out by identifying a series of data obtained from visual inspections, which allows the mapping of the deterioration situation of the work and its conservation status. There are, however, situations where visual inspection may be difficult or impossible, especially in critical areas of bridges, such as the ceiling and corners. In this contribution, the authors acquire images using a prototype drone with a low-cost camera mounted upward over the body of the drone. The proposed solution was tested on a bridge in the city of Turin (Italy). The captured data was processed via photogrammetric process using the open-source Micmac solution. Subsequently, a procedure was developed with FOSS tools for the segmentation of the orthophoto of the intrados of the bridge and the automatic classification of some defects found on the analyzed structure. The paper describes the adopted approach showing the effectiveness of the proposed methodology.
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Conference papers on the topic "Visual data capture"

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Walker, Joe. "SSPC-PA2: New Electronic Data Collection Solutions." In SSPC 2014 Greencoat. SSPC, 2014. https://doi.org/10.5006/s2014-00064.

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Advances in technology have lead to vast changes in Dry Film Thickness (DFT) testing methods. These changes have not only improved the overall user experience and repeatability of measurements, but also have necessitated changes in international standards. Traditionally, industries used both visual and analog devices in conjunction with paper reporting systems to ensure that QA/QC requirements were being met. In the early 1980's, the microprocessor became widely available for application in portable test equipment. Manufacturers, in conjunction with the technology industry, developed the first
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Kaur, Navjot, Praveen Kumar Malik, Shikha Agarwal, Gopal Krishna, Jaypal Lande, and Shelej Khera. "An Automated Solution for Traffic Safety and Compliance Using Wireless-Enabled Overspeed Detection and Data Logging Using Doppler Radar and Visual Capture for Enhanced Monitoring and Enforcement." In 2025 3rd International Conference on Disruptive Technologies (ICDT). IEEE, 2025. https://doi.org/10.1109/icdt63985.2025.10986534.

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Huang, M. Jerry, Stephanie Loveless, and Jonas Braasch. "Cenotaph and Elegy of Contagion: Collective Immersion of National-Level Covid-19 Fatality Data in the United States." In ICAD 2024: The 29th International Conference on Auditory Display. International Community for Auditory Display, 2024. http://dx.doi.org/10.21785/icad2024.018.

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Effective representation of epidemiological data is essential for informing the general public about the extent of disease contagion, yet hard to achieve. On the one hand, the expressiveness of statistical visualization is often limited. On the other hand, explicit data sonification is lost in translation, failing to capture the meaning of the data at hand. The ongoing COVID-19 pandemic, which has caused excessive fatalities in the world and the United States, has presented us with a timely opportunity to address both challenges at once. In this work, we use the room-oriented immersive system
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Skilbred, Anders W. B., Kevin Farinholt, Erik Risberg, and Fritz Friedersdorf. "Development of a Water Ballast Tank Coating Monitoring System." In CONFERENCE 2023. AMPP, 2023. https://doi.org/10.5006/c2023-19320.

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Abstract Inspection of ballast tanks and enclosures is generally performed using traditional methods such as visual inspection and non-destructive evaluation (NDE) techniques. However, it is common for these methods to often be labor intensive and limited by physical restrictions that prohibit access to certain areas. It is also challenging to plan for maintenance activities before the vessel has entered drydock due to limitations for inspections at sea or during short port calls. Further, the evaluation of the coating condition is heavily dependent on the inspector, and the quality of the dat
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Wang, Jinjin, Nobuyuki Oishi, Renhui Ying, Guiyi Wei, Phil Birch, and Bao Kha Nguyen. "Keep the Key Part: Exploring Drone-Captured Digital Elevation Model Data Augmentation for Deep Learning-based Crop Height Estimation." In 2024 IEEE International Conference on Visual Communications and Image Processing (VCIP). IEEE, 2024. https://doi.org/10.1109/vcip63160.2024.10849876.

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Wilhelm, Nils, Anna Vögele, Rebeka Zsoldos, Theresia Licka, Björn Krüger, and Jürgen Bernard. "FuryExplorer: visual-interactive exploration of horse motion capture data." In IS&T/SPIE Electronic Imaging, edited by David L. Kao, Ming C. Hao, Mark A. Livingston, and Thomas Wischgoll. SPIE, 2015. http://dx.doi.org/10.1117/12.2080001.

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Wu, H. Y., Qing Yang, and Chunhong Pan. "An efficient skeleton-free mesh deformation method with motion capture data." In IET International Conference on Visual Information Engineering (VIE 2006). IEE, 2006. http://dx.doi.org/10.1049/cp:20060575.

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Ibrahim, Amir, Mani Golparvar-Fard, Timothy Bretl, and Khaled El-Rayes. "Model-Driven Visual Data Capture on Construction Sites: Method and Metrics of Success." In ASCE International Workshop on Computing in Civil Engineering 2017. American Society of Civil Engineers, 2017. http://dx.doi.org/10.1061/9780784480847.014.

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McGinn, Barry. "How Drone Data Capture and a Visual Intelligence Platform Offer Unparalleled Insight into Capital Project Delivery." In ADIPEC. SPE, 2022. http://dx.doi.org/10.2118/211078-ms.

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Abstract The construction industry is recognising the increasingly important role of digital technology in delivering capital projects on time and within budget. Over 95% of major projects (over $1bn) are delayed or over budget, according to a report by Accenture. Project owners are under pressure to become more efficient, innovative, and ambitious in how they operate, they are turning to digital technologies to enable full project visibility and evidencing data to make more informed decisions. The execution of capital projects within the energy sector is typically complex and often relies upo
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Stoltmann, Katarzyna, and Susanne Fuchs. "The influence of handedness and pointing direction on deictic gestures and speech interaction: Evidence from motion capture data on Polish counting-out rhymes." In The 14th International Conference on Auditory-Visual Speech Processing. ISCA, 2017. http://dx.doi.org/10.21437/avsp.2017-5.

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Reports on the topic "Visual data capture"

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Cheng, DingXin. Development of the Roadway Pothole Management Program. Mineta Transportation Institute, 2024. http://dx.doi.org/10.31979/mti.2024.2306.

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Addressing the issue of potholes is a primary concern for maintaining urban infrastructure. The research team has developed a prototype pothole management program. The program includes a mobile application and two machine learning models. The mobile app enables users to upload images of potholes, report relevant information, and provide driving directions to the pothole location. With the help of this application, the user can seamlessly capture images of the potholes, record pertinent information, and submit the data for necessary action. The mobile application is an essential tool in the Pot
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Wright, Kirsten. Collecting Plant Phenology Data In Imperiled Oregon White Oak Ecosystems: Analysis and Recommendations for Metro. Portland State University, 2020. http://dx.doi.org/10.15760/mem.64.

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Highly imperiled Oregon white oak ecosystems are a regional conservation priority of numerous organizations, including Oregon Metro, a regional government serving over one million people in the Portland area. Previously dominant systems in the Pacific Northwest, upland prairie and oak woodlands are now experiencing significant threat, with only 2% remaining in the Willamette Valley in small fragments (Hulse et al. 2002). These fragments are of high conservation value because of the rich biodiversity they support, including rare and endemic species, such as Delphinium leucophaeum (Oregon Depart
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Yan, Yujie, and Jerome F. Hajjar. Automated Damage Assessment and Structural Modeling of Bridges with Visual Sensing Technology. Northeastern University, 2021. http://dx.doi.org/10.17760/d20410114.

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Recent advances in visual sensing technology have gained much attention in the field of bridge inspection and management. Coupled with advanced robotic systems, state-of-the-art visual sensors can be used to obtain accurate documentation of bridges without the need for any special equipment or traffic closure. The captured visual sensor data can be post-processed to gather meaningful information for the bridge structures and hence to support bridge inspection and management. However, state-of-the-practice data postprocessing approaches require substantial manual operations, which can be time-c
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Kulhandjian, Hovannes. Detecting Driver Drowsiness with Multi-Sensor Data Fusion Combined with Machine Learning. Mineta Transportation Institute, 2021. http://dx.doi.org/10.31979/mti.2021.2015.

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In this research work, we develop a drowsy driver detection system through the application of visual and radar sensors combined with machine learning. The system concept was derived from the desire to achieve a high level of driver safety through the prevention of potentially fatal accidents involving drowsy drivers. According to the National Highway Traffic Safety Administration, drowsy driving resulted in 50,000 injuries across 91,000 police-reported accidents, and a death toll of nearly 800 in 2017. The objective of this research work is to provide a working prototype of Advanced Driver Ass
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Shukla, Indu, Rajeev Agrawal, Kelly Ervin, and Jonathan Boone. AI on digital twin of facility captured by reality scans. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/47850.

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The power of artificial intelligence (AI) coupled with optimization algorithms can be linked to data-rich digital twin models to perform predictive analysis to make better informed decisions about installation operations and quality of life for the warfighters. In the current research, we developed AI connected lifecycle building information models through the creation of a data informed smart digital twin of one of US Army Corps of Engineers (USACE) buildings as our test case. Digital twin (DT) technology involves creating a virtual representation of a physical entity. Digital twin is created
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Beavers, Calvin, Chad Day, Austin Krietemeyer, Scott Peterson, Yushin Ahn, and Xiaojun Li. Mapping of Pavement Conditions Using Smartphone/Tablet LiDAR Case Study: Sensor Performance Comparison. Mineta Transportation Institute, 2024. http://dx.doi.org/10.31979/mti.2024.2224.

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Poor road conditions affect millions of drivers, and assessing the condition of paved surfaces is a critical step towards repairing them. This project explores the feasibility of using the Apple iPad Pro LiDAR sensor as a cost-effective tool for assessing the damage and condition of paved surfaces. Our research aims to provide accurate and precise measurements using readily available consumer devices and compare the results to state-of-the-art equipment. This investigation involved visual inspection, identification, and classification of pavement distresses, followed by a comparison of the iPa
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Kalen, Nicholas. Bats of Richmond National Battlefield Park following white-nose syndrome: Public version. National Park Service, 2023. http://dx.doi.org/10.36967/2299295.

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I conducted bat surveys at Richmond National Battlefield Park to assess the status of bat communities following potential impacts of the disease white-nose syndrome. This disease, caused by the fungus Pseudogymnoascus destructans, has severely reduced populations of several bat species in the eastern United States, threatening some with regional extirpation. Most affected species include the little brown bat (Myotis lucifugus), northern long-eared bat (Myotis septentrionalis), Indiana bat (Myotis sodalis), and tricolored bat (Perimyotis subflavus). During the summers of 2016–2020, I sampled si
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Mathew, Jijo K., Haydn Malackowski, Yerassyl Koshan, et al. Development of Latitude/Longitude (and Route/Milepost) Model for Positioning Traffic Management Cameras. Purdue University, 2024. http://dx.doi.org/10.5703/1288284317720.

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Traffic Incident Management (TIM) is a FHWA Every Day Counts initiative with the objective of reducing secondary crashes, improving travel reliability, and ensuring the safety of responders. Agency roadside cameras play a critical role in TIM by helping dispatchers quickly identify the precise location of incidents when receiving reports from motorists with varying levels of spatial accuracy. Reconciling position reports that are often mile-marker based with cameras that operate in a Pan-Tilt-Zoom (PTZ) coordinate system relies on dispatchers having detailed knowledge of hundreds of cameras an
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Kalen, Nicholas. Remediated for accessibility per Section 508. National Park Service, 2023. http://dx.doi.org/10.36967/2298454.

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I conducted bat surveys at Richmond National Battlefield Park to assess the status of bat communities following potential impacts of the disease white-nose syndrome. This disease, caused by the fungus Pseudogymnoascus destructans, has severely reduced populations of several bat species in the eastern United States, threatening some with regional extirpation. Most affected species include the little brown bat (Myotis lucifugus), northern long-eared bat (Myotis septentrionalis), Indiana bat (Myotis sodalis), and tricolored bat (Perimyotis subflavus). During the summers of 2016-2020, I sampled si
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Kalen, Nicholas. Bats of Petersburg National Battlefield following white-nose syndrome. National Park Service, 2023. http://dx.doi.org/10.36967/2299217.

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I conducted bat surveys at Petersburg National Battlefield Park (PETE) to assess the status of bat communities following potential impacts of the disease white-nose syndrome. This disease, caused by the fungus Pseudogymnoascus destructans, has severely reduced populations of several bat species in the eastern United States, threatening some with regional extirpation. Most affected species include the little brown bat (Myotis lucifugus), the federally-endangered northern long-eared bat (Myotis septentrionalis) and Indiana bat (Myotis sodalis) (USFWS 2007, USFWS 2022a), as well as the tricolored
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