Relevant bibliographies by topics / Thermal object

Contents

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

Academic literature on the topic 'Thermal object'

Author: Grafiati
Published: 30 May 2022
Last updated: 31 July 2025

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Journal articles on the topic "Thermal object"

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Teju, Ventrapragada, Kambhampati Venkata Sowmya, Srinivasa Rao Kandula, Anca Stan, and Ovidiu Petru Stan. "A Hybrid Retina Net Classifier for Thermal Imaging." Applied Sciences 13, no. 14 (2023): 8525. http://dx.doi.org/10.3390/app13148525.

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Thermal imaging is a cutting-edge technology which has the capability to detect objects in any environmental conditions, such as smoke, fog, smog, etc. This technology finds its importance mainly during nighttime since it does not require light to detect the objects. Applications of this technology span into various sectors, most importantly in border security to detect any incoming hazards. Object detection and classification are generally difficult with thermal imaging. In this paper, a one-stage deep convolution network-based object detection and classification called retina net is introduc
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Kostyleva, Liliya Yu, Oleg V. Loginovskiy, Evgeniya A. Retc, and Igor M. Yachikov. "Possibilities of using mathematical models for thermal nondestructive testing of defects in multilayer bimetallic plates." Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics 22, no. 1 (2022): 53–64. http://dx.doi.org/10.14529/ctcr220104.

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There is an actual task of delamination detection in multilayer bimetallic materials. Various methods of nondestructive testing (NDT) are used to solve it, including the method of transient thermal NDT. This method consists in remote registration, visualization and analysis of thermal (temperature) fields, which depend on thermophysical and geometric characteristics, thermal effect capacity and internal structure features of the object. The internal structure defects cause the appearance of abnormal temperature zones on the object surface. Their analysis allows us to judge the presence of chan
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PHADKE, Anuradha, Rucha VAIKAR, Avni KHETRAPAL, and Mehul VERMA. "Object Detection on Thermal Images: Performance of Yolov4 vs Yolov4 Tiny trained on Custom Datasets." Electrotehnica, Electronica, Automatica 72, no. 3 (2024): 53–61. http://dx.doi.org/10.46904/eea.23.72.3.1108006.

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The process of identifying and pinpointing the location of objects within an image or video is a crucial task in computer vision, known as object detection. While there has been significant progress in object detection using conventional optical RGB images, there has been comparatively less research done on object detection using thermal images. Thermal imaging has the advantage of being able to capture images in low light or even complete darkness, making it an attractive technology for surveillance applications. However, due to the scarcity of publicly available thermal image datasets, the d
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Morgan, D., and R. Henda. "Object-oriented Thermal Radiation Simulator." Education for Chemical Engineers 1, no. 1 (2006): 101–15. http://dx.doi.org/10.1205/ece06010.

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Sipahutar, Mita Erlida, Sinar Sinurat, and Imam Saputra. "Peningkatan Kualitas Citra Termal Menggunakan Metode Blind Deconvolution." Building of Informatics, Technology and Science (BITS) 3, no. 2 (2021): 79–87. http://dx.doi.org/10.47065/bits.v3i2.133.

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Temperature is a quantity that indicates the degree of heat of an object. The higher the temperature of an object, the hotter the object. Thermal imagery is an image created with thermal infrared spectrum that utilizes the temperature of an object. Sensing on this spectrum is based on differences in the temperature of the object and its emission power in the image which is reflected by the difference in hue or color. The sensor used in thermal images is noncamera based on scanning. In thermal imagery, there is a problem, namely blurred / blurred images that make it difficult to obtain informat
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Dash, Yajnaseni, Vinayak Gupta, Ajith Abraham, and Swati Chandna. "Improving Object Detection in High-Altitude Infrared Thermal Images Using Magnitude-Based Pruning and Non-Maximum Suppression." Journal of Imaging 11, no. 3 (2025): 69. https://doi.org/10.3390/jimaging11030069.

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The advancement of technology has ushered in remote sensing with the adoption of high-altitude infrared thermal object detection to leverage the distinct advantages of high-altitude platforms. These new technologies readily capture the thermal signatures of objects from an elevated point, generally unmanned aerial vehicles or drones, and thus allow for the enhancement of the detection and monitoring of extensive areas. This study explores the application of YOLOv8’s advanced architecture, as well as dynamic magnitude-based pruning techniques paired with non-maximum suppression for high-altitud
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Мигущенко, Руслан Павлович, Ольга Юріївна Кропачек, Лілія Степанівна Шустік, and Катерина Русланівна Мигущенко. "LABORATORY STUDIES OF MATHEMATICAL MODELS THERMAL OBJECTS." Bulletin of the National Technical University "KhPI". Series: Hydraulic machines and hydraulic units, no. 2 (June 4, 2023): 4–11. http://dx.doi.org/10.20998/2411-3441.2022.2.01.

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Is devoted to the development and analysis of mathematical models of thermal objects. The extruder adopted as a thermal object is a vivid example of multi-zone pass-through technological units, the value of which is enormous for the domestic economy. In the article, the replacement of a real industrial object with a laboratory sample is carried out to work out the methodology of practical identification when obtaining a mathematical model with its subsequent analysis. A positive result is able to transfer the obtained results to a real technological unit. In the article, the object of research
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Sadek, Toufic Abd El-Latif, Yousef Attalah, and Ghaleb Faour. "Optimal Timing for Capturing Satellite Thermal Images of Asphalt Object." European Scientific Journal, ESJ 12, no. 3 (2016): 235. http://dx.doi.org/10.19044/esj.2016.v12n3p235.

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The best extraction of asphalt object from satellite thermal images is the aim of the study. The best original data of thermal images occurred at a specific times during the days of the year. by preventing the gaps in times which give the close and same brightness from different objects. Finally, to achieve easy and efficient extraction of asphalt object from the satellite thermal images and then better analysis. The study were done using seven sample objects, asphalt, concrete, metal, rock, dry soil, vegetation, and water, located at one place carefully investigated in a way that all the obje
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Turmaganbet, U. K., D. M. Zhexebay, D. A. Turlykozhayeva, et al. "THERMAL INFRARED OBJECT DETECTION WITH YOLO MODELS." Eurasian Physical Technical Journal 22, no. 2 (52) (2025): 121–32. https://doi.org/10.31489/2025n2/121-132.

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Object detection is a fundamental task in computer vision and remote sensing, aimed at recognizing and categorizing different types of objects within images. Unmanned aerial vehicle - based thermal infrared remote sensing provides crucial multi-scenario images and videos, serving as key data sources in public applications. However, object detection in these images remains challenging due to complex scene information, lower resolution compared to visible-spectrum videos, and a shortage of publicly available labeled datasets and trained models. This article introduces a Unmanned aerial vehicle -
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Головин, Д. Ю., А. И. Тюрин, А. А. Самодуров та Ю. И. Головин. "Определение температуропроводности материалов методом нестационарного точечного нагрева". Письма в журнал технической физики 46, № 1 (2020): 39. http://dx.doi.org/10.21883/pjtf.2020.01.48863.18052.

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Express thermographic method for measuring thermal diffusivity of thin flat objects is described in the paper. It could be considered as modification or a branch of laser flash method, however it does not require sample cutting or two side access to the object. The method comprises step-like heating of the small area (~ 0.1 mm2) at the object surface by focused laser beam and continuous recording temperature distribution at the surface by thermal camera. Developed data processing technique does not require information about absolute temperatures or absorbed energy for determination of thermal
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Dissertations / Theses on the topic "Thermal object"

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Mozok, E. M. "Monitoring condition of thermal object." Thesis, Сумський державний університет, 2014. http://essuir.sumdu.edu.ua/handle/123456789/34870.

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Thermal power plants are producing more than a third of consumed electricity and become main enterprise which generate electricity, both in Ukraine and other countries. To achieve optimal control of the combustion process it is necessary to provide individual adjustment of the following parameters: distribution of the combustion zone according to the project plan; control of air distribution and air/fuel ratio in combustion zone. When you are citing the document, use the following link http://essuir.sumdu.edu.ua/handle/123456789/34870
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Kaba, Utku. "Moving Hot Object Detection In Airborne Thermal Videos." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614532/index.pdf.

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In this thesis, we present an algorithm for vision based detection of moving objects observed by IR sensors on a moving platform. In addition we analyze the performance of different approaches in each step of the algorithm. The proposed algorithm is composed of preprocessing, feature detection, feature matching, homography estimation and difference image analysis steps. First, a global motion estimation based on planar homography model is performed in order to compensate the motion of the sensor and moving platform where the sensors are located. Then, moving objects are identified on differenc
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Bergenroth, Hannah. "Use of Thermal Imagery for Robust Moving Object Detection." Thesis, Linköpings universitet, Medie- och Informationsteknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-177888.

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This work proposes a system that utilizes both infrared and visual imagery to create a more robust object detection and classification system. The system consists of two main parts: a moving object detector and a target classifier. The first stage detects moving objects in visible and infrared spectrum using background subtraction based on Gaussian Mixture Models. Low-level fusion is performed to combine the foreground regions in the respective domain. For the second stage, a Convolutional Neural Network (CNN), pre-trained on the ImageNet dataset is used to classify the detected targets into o
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Yigit, Ahmet. "Thermal And Visible Band Image Fusion For Abandoned Object Detection." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/3/12611720/index.pdf.

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Packages that are left unattended in public spaces are a security concern and timely detection of these packages is important for prevention of potential threats. Operators should be always alert to detect abandoned items in crowded environments. However, it is very difficult for operators to stay concentrated for extended periods. Therefore, it is important to aid operators with automatic detection of abandoned items. Most of the methods in the literature define abandoned items as items newly added to the scene and stayed stationary for a predefined time. Hence other stationary objects, such
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López, Mas Joan. "Parallel object-oriented algorithms for simulation of multiphysics : application to thermal systems." Doctoral thesis, Universitat Politècnica de Catalunya, 2016. http://hdl.handle.net/10803/387441.

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The present and the future expectation in parallel computing pose a new generational change in simulation and computing. Modern High Performance Computing (HPC) facilities have high computational power in terms of operations per second -today peta-FLOPS (10e15 FLOPS) and growing toward the exascale (10e18 FLOPS) which is expected in few years-. This opens the way for using simulation tools in a wide range of new engineering and scientific applications. For example, CFD&HT codes will be effectively used in the design phase of industrial devices, obtaining valuable information with reasonable t
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Viau, Claude. "Multispectral Image Analysis for Object Recognition and Classification." Thesis, Université d'Ottawa / University of Ottawa, 2016. http://hdl.handle.net/10393/34532.

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Computer and machine vision applications are used in numerous fields to analyze static and dynamic imagery in order to assist or automate some form of decision-making process. Advancements in sensor technologies now make it possible to capture and visualize imagery at various wavelengths (or bands) of the electromagnetic spectrum. Multispectral imaging has countless applications in various field including (but not limited to) security, defense, space, medical, manufacturing and archeology. The development of advanced algorithms to process and extract salient information from the imagery is a c
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Beyan, Cigdem. "Object Tracking For Surveillance Applications Using Thermal And Visible Band Video Data Fusion." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612743/index.pdf.

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Individual tracking of objects in the video such as people and the luggages they carry is important for surveillance applications as it would enable deduction of higher level information and timely detection of potential threats. However, this is a challenging problem and many studies in the literature track people and the belongings as a single object. In this thesis, we propose using thermal band video data in addition to the visible band video data for tracking people and their belongings separately for indoor applications using their heat signatures. For object tracking step, an adaptive,
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Yevseienko, Oleg, Anatoliy Gapon, and Dmytro Salnikov. "Searching for Optimal Control Parameters of Thermal Object Using Pulse-Width Modulation (PWM) Control with Predictive Filter." Thesis, Lviv Polytechnic Publishing House, 2015. http://repository.kpi.kharkov.ua/handle/KhPI-Press/41116.

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The thesis is devote to the temperature control of objects with lumped or distributed parameters. The problems of choosing the right value of regulator’s heater power and prediction period are discussed. The major attention is paid to the process of searching the minimum value of control quantities. It is shown that the approximated second-order plane has an exact accordance with the original data. It is concluded that algorithm of PWM-control with prediction filter provides good quality control.
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Stigson, Magnus. "Object Tracking Using Tracking-Learning-Detection inThermal Infrared Video." Thesis, Linköpings universitet, Datorseende, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-93936.

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Automatic tracking of an object of interest in a video sequence is a task that has been much researched. Difficulties include varying scale of the object, rotation and object appearance changing over time, thus leading to tracking failures. Different tracking methods, such as short-term tracking often fail if the object steps out of the camera’s field of view, or changes shape rapidly. Also, small inaccuracies in the tracking method can accumulate over time, which can lead to tracking drift. Long-term tracking is also problematic, partly due to updating and degradation of the object model, lea
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Samaei, Amiryousef. "Evaluating the effect of different distances on the pixels per object and image classification." Thesis, Mittuniversitetet, Avdelningen för elektronikkonstruktion, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-25880.

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In the last decades camera systems have continuously evolved and have found wide range of applications. One of the main applications of a modern camera system is surveillance in outdoor areas. The camera system, based on local computations, can detect and classify objects autonomously. However, the distance of the objects from the camera plays a vital role on the classification results. This could be specially challenging when lighting conditions are varying. Therefore, in this thesis, we are examining the effect of changing dis-tances on object in terms of number of pixels. In addition, the e
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Books on the topic "Thermal object"

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Jörn, Wilms, Begelman Mitchell C, and United States. National Aeronautics and Space Administration., eds. Self-consistent thermal accretion disk corona models for compact objects. National Aeronautics and Space Administration, 1997.

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Jörn, Wilms, Begelman Mitchell C, and United States. National Aeronautics and Space Administration., eds. Self-consistent thermal accretion disk corona models for compact objects. National Aeronautics and Space Administration, 1997.

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B, Dove James, and United States. National Aeronautics and Space Administration., eds. Self-consistent thermal accretion disk corona models for compact objects. National Aeronautics and Space Administration, 1997.

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Jörn, Wilms, Begelman Mitchell C, and United States. National Aeronautics and Space Administration., eds. Self-consistent thermal accretion disk corona models for compact objects. National Aeronautics and Space Administration, 1997.

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B, Dove James, and United States. National Aeronautics and Space Administration., eds. Self-consistent thermal accretion disk corona models for compact objects. National Aeronautics and Space Administration, 1997.

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B, Dove James, and United States. National Aeronautics and Space Administration., eds. Self-consistent thermal accretion disk corona models for compact objects. National Aeronautics and Space Administration, 1997.

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Spaans, Ronny. Dangerous Drugs. Amsterdam University Press, 2020. http://dx.doi.org/10.5117/9789462982543.

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In the 17th century, the Dutch Republic was the centre of the world trade in exotic drugs and spices. They were sought after both as medicines, and as luxury objects for the bourgeois class, giving rise to a medical and moral anxiety in the Republic. This ambivalent view on exotic drugs is the theme of the poetry of Joannes Six van Chandelier (1620-1695). Six, who himself ran the drug shop ‘The Gilded Unicorn’ in Amsterdam, addresses a number of exotic medicines in his poems, such as musk, incense, the miracle drug theriac, Egyptian mumia, and even the blood of Charles I of England. In Dangero
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Dzelzītis, Egīls. Application of Alternative Energy Trigeneration for Balancing of Loads and Sustainable Quality Assurance in Smart Energy Networks. RTU Press, 2021. http://dx.doi.org/10.7250/9789934227158.

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The object of the research is micro-grids in district heating systems and the end consumers of the thermal energy from these systems. Topicality of the Thesis: The National Energy and Climate Plan of Latvia for 2030. The aim of the Doctoral Thesis is to design the energy management model for micro-grids with passive buildings and ecological trigeneration by using renewable energy resources.
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Self-consistent thermal accretion disk corona models for compact objects. National Aeronautics and Space Administration, 1997.

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Violi, Alessandra, Barbara Grespi, Andrea Pinotti, and Pietro Conte, eds. Bodies of Stone in the Media, Visual Culture and the Arts. Amsterdam University Press B.V., 2020. http://dx.doi.org/10.5040/9789048561582.

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If mediatization has surprisingly revealed the secret life of inert matter and the ‘face of things’, the flipside of this has been the petrification of living organisms, an invasion of stone bodies in a state of suspended animation. Within a contemporary imaginary pervaded by new forms of animism, the paradigm of death looms large in many areas of artistic experimentation, pushing the modern body towards mineral modes of being which revive ancient myths of flesh-made-stone and the issue of the monument. Scholars in media, visual culture and the arts propose studies of bodies of stone, from act
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Book chapters on the topic "Thermal object"

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Muften, Haider Ali, and Ali Retha Hasoon Khayeat. "Object Segmentation in Thermal Images Using YOLOv8." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-97-4711-5_33.

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Faucett, D. Calvin, Jennifer Wright, Matt Ayre, and Sung R. Choi. "Foreign Object Damage (FOD) in Thermal Barrier Coatings." In Ceramic Transactions Series. John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118491867.ch25.

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Srihari, P., and Harikiran Jonnadula. "Object Detection and Foreground Extraction in Thermal Images." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-4831-2_57.

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Mahajan, Jayant R., Neetu Agarwal, and Chandansingh Rawat. "Motion Object Tracking for Thermal Imaging Using Particle Filter." In Applied Computer Vision and Image Processing. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4029-5_16.

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Kumar, Sachin, and Deepak Gaur. "Thermal Object Detection Using Yolov3 and Spatial Pyramid Pooling." In Algorithms for Intelligent Systems. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4087-9_46.

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Raol, Jitendra R., and V. P. S. Naidu. "Object Detection and Tracking from UAV with Thermal Camera." In Mathematical Modelling of Aerospace Dynamic Systems with Practical Applications. CRC Press, 2025. https://doi.org/10.1201/9781003429869-7.

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Kameyama, Naoki, and Hsin-Ni Ho. "Analysis of Thermal Properties of Artificial Fingers for Recording Thermal Transients During Hand-Object Interactions." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-70061-3_17.

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Felsberg, Michael, Matej Kristan, Jiři Matas, et al. "The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results." In Lecture Notes in Computer Science. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-48881-3_55.

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Amemiya, Tomohiro. "Visualizing Thermal Traces to Reveal Histories of Human-Object Interactions." In Universal Access in Human-Computer Interaction. Intelligent and Ubiquitous Interaction Environments. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02710-9_52.

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Gupta, Ravina, Sarika Jain, and Manoj Kumar. "Optimizing Small Object Detection in Thermal Infrared Imaging with YOLOv8." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-3936-6_32.

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Conference papers on the topic "Thermal object"

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S, Akshay, Shukoh Neelakandan, and Aswin G. Nath. "Object Detection Using Thermal Imaging." In 2024 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT). IEEE, 2024. http://dx.doi.org/10.1109/conecct62155.2024.10677183.

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Juarez-Salazar, Rigoberto, Eberto Benjumea, Andres G. Marrugo, and Victor H. Diaz-Ramirez. "Three-dimensional object texturing for visible-thermal fringe projection profilometers." In Optics and Photonics for Information Processing XVIII, edited by Khan M. Iftekharuddin, Abdul A. S. Awwal, Andrés Márquez, and Victor Hugo Diaz-Ramirez. SPIE, 2024. http://dx.doi.org/10.1117/12.3028321.

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Abdulla, Abdalgalil Alsagair, Zarko Barbaric, and Suleman Shaban. "An Object Temperature Estimation Based on Obtained Infrared Thermal Images." In 2024 11th International Conference on Electrical, Electronic and Computing Engineering (IcETRAN). IEEE, 2024. http://dx.doi.org/10.1109/icetran62308.2024.10645077.

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Cho, Beomsik, Seoyeong Choi, and Soomok Lee. "Domain Separation Aided Data Efficiency Enhancement for Thermal Object Detection." In 2025 International Conference on Electronics, Information, and Communication (ICEIC). IEEE, 2025. https://doi.org/10.1109/iceic64972.2025.10879634.

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Nie, Xiaopeng, Wenyi Gao, Kaisheng Tu, and Wenfeng Shi. "Study on detecting the influence of sunlight based on infrared thermal-imaging method." In 3rd International Conference on Image Processing, Object Detection and Tracking (IPODT24), edited by Bin Liu and Lu Leng. SPIE, 2024. http://dx.doi.org/10.1117/12.3050758.

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Tanaka, Mone, Yasue Kishino, and Hideyuki Shimonishi. "Efficient Object Retrieval System Using Contact History from a Thermal Camera." In 2025 IEEE International Conference on Consumer Electronics (ICCE). IEEE, 2025. https://doi.org/10.1109/icce63647.2025.10930068.

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Xu, Hong-Wei, Yuan-Wei Tseng, and Rong-Ching Wu. "A Thermal Imaging System with Object Detection Based on High-Precision Temperature Calibration via Thermal Camera Structural Design." In 2025 IEEE Industry Applications Society Annual Meeting (IAS). IEEE, 2025. https://doi.org/10.1109/ias62731.2025.11061736.

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Jang, Junbo, Jiyoon Lee, and Joonki Paik. "CAMDet: Condition-Adaptive Multispectral Object Detection Using a Visible-Thermal Translation Model." In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025. https://doi.org/10.1109/icassp49660.2025.10889505.

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Zhang, Weijie. "Early prediction method for frost damage and crack growth of expressway pavement based on infrared thermal imaging technology." In 3rd International Conference on Image Processing, Object Detection and Tracking (IPODT24), edited by Bin Liu and Lu Leng. SPIE, 2024. http://dx.doi.org/10.1117/12.3050745.

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Blackmore, Byron, Robin Bornoff, Joe Proulx, and Andras Vass-Varnai. "Automated structure function object mapping." In 2018 34th Thermal Measurement, Modeling & Management Symposium (SEMI-THERM). IEEE, 2018. http://dx.doi.org/10.1109/semi-therm.2018.8357361.

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Reports on the topic "Thermal object"

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Bragdon, Sophia, Vuong Truong, and Jay Clausen. Environmentally informed buried object recognition. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/45902.

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The ability to detect and classify buried objects using thermal infrared imaging is affected by the environmental conditions at the time of imaging, which leads to an inconsistent probability of detection. For example, periods of dense overcast or recent precipitation events result in the suppression of the soil temperature difference between the buried object and soil, thus preventing detection. This work introduces an environmentally informed framework to reduce the false alarm rate in the classification of regions of interest (ROIs) in thermal IR images containing buried objects. Using a da
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Bishop, Megan, Vuong Truong, Sophia Bragdon, and Jay Clausen. Comparing the thermal infrared signatures of shallow buried objects and disturbed soil. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/49415.

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The alteration of physical and thermal properties of native soil during object burial produces a signature that can be detected using thermal infrared (IR) imagery. This study explores the thermal signature of disturbed soil compared to buried objects of different compositions (e.g., metal and plastic) buried 5 cm below ground surface (bgs) to better understand the mechanisms by which soil disturbance can impact the performance of aided target detection and recognition (AiTD/R). IR imagery recorded every five minutes were coupled with meteorological data recorded on 15-minute intervals from 1
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Clausen, Jay, Vuong Truong, Sophia Bragdon, et al. Buried-object-detection improvements incorporating environmental phenomenology into signature physics. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/45625.

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The ability to detect buried objects is critical for the Army. Therefore, this report summarizes the fourth year of an ongoing study to assess environ-mental phenomenological conditions affecting probability of detection and false alarm rates for buried-object detection using thermal infrared sensors. This study used several different approaches to identify the predominant environmental variables affecting object detection: (1) multilevel statistical modeling, (2) direct image analysis, (3) physics-based thermal modeling, and (4) application of machine learning (ML) techniques. In addition, th
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Clausen, Jay, Michael Musty, Anna Wagner, Susan Frankenstein, and Jason Dorvee. Modeling of a multi-month thermal IR study. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41060.

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Inconsistent and unacceptable probability of detection (PD) and false alarm rates (FAR) due to varying environmental conditions hamper buried object detection. A 4-month study evaluated the environmental parameters impacting standoff thermal infra-red(IR) detection of buried objects. Field observations were integrated into a model depicting the temporal and spatial thermal changes through a 1-week period utilizing a 15-minute time-step interval. The model illustrates the surface thermal observations obtained with a thermal IR camera contemporaneously with a 3-d presentation of subsurface soil
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Clausen, Jay, Christopher Felt, Michael Musty, et al. Modernizing environmental signature physics for target detection—Phase 3. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/43442.

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The present effort (Phase 3) builds on our previously published prior efforts (Phases 1 and 2), which examined methods of determining the probability of detection and false alarm rates using thermal infrared for buried object detection. Environmental phenomenological effects are often represented in weather forecasts in a relatively coarse, hourly resolution, which introduces concerns such as exclusion or misrepresentation of ephemera or lags in timing when using this data as an input for the Army’s Tactical Assault Kit software system. Additionally, the direct application of observed temperat
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Christie, Benjamin, Osama Ennasr, and Garry Glaspell. ROS integrated object detection for SLAM in unknown, low-visibility environments. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42385.

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Integrating thermal (or infrared) imagery on a robotics platform allows Unmanned Ground Vehicles (UGV) to function in low-visibility environments, such as pure darkness or low-density smoke. To maximize the effectiveness of this approach we discuss the modifications required to integrate our low-visibility object detection model on a Robot Operating System (ROS). Furthermore, we introduce a method for reporting detected objects while performing Simultaneous Localization and Mapping (SLAM) by generating bounding boxes and their respective transforms in visually challenging environments.
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Wilson, D., Steven Peckham, Max Krackow, Sora Haley, Sophia Bragdon, and Jay Clausen. Discriminating buried munitions based on physical models for their thermal response. Engineer Research and Development Center (U.S.), 2025. https://doi.org/10.21079/11681/49749.

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Munitions and other objects buried near the Earth’s surface can often be recognized in infrared imagery because their thermal and radiative properties differ from the surrounding undisturbed soil. However, the evolution of the thermal signature over time is subject to many complex interacting processes, including incident solar radiation, heat conduction in the ground, longwave radiation from the surface, and sensible and latent heat exchanges with the atmosphere. This complexity makes development of robust classification algorithms particularly challenging. Machine-learning algorithms, althou
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Clausen, Jay, Susan Frankenstein, Jason Dorvee, et al. Spatial and temporal variance of soil and meteorological properties affecting sensor performance—Phase 2. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41780.

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An approach to increasing sensor performance and detection reliability for buried objects is to better understand which physical processes are dominant under certain environmental conditions. The present effort (Phase 2) builds on our previously published prior effort (Phase 1), which examined methods of determining the probability of detection and false alarm rates using thermal infrared for buried-object detection. The study utilized a 3.05 × 3.05 m test plot in Hanover, New Hampshire. Unlike Phase 1, the current effort involved removing the soil from the test plot area, homogenizing the mat
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Harter, Jackson, Shuxiang Zhou, Andrea Jokisaari, and Sebastian Schunert. Multiscale thermal properties prediction in the Multiphysics Object Oriented Simulation Environment (MOOSE) via a general Boltzmann solver. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/2370067.

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Gritzo, L. A., J. L. Moya, and D. Murray. Fire characterization and object thermal response for a large flat plate adjacent to a large JP-4 fuel fire. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/437679.

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