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Journal articles on the topic 'Mot-image'

Author: Grafiati

Published: 22 June 2024

Last updated: 31 July 2025

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1

Brunschwig, Hélène. "Mot et image. L'enfant-télé." Imaginaire & Inconscient 3, no. 3 (2001): 57. http://dx.doi.org/10.3917/imin.003.0057.

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2

Jin, Kyung Chan, and Hyung Tae Kim. "GPU-Based Mojette Transform for High-Speed Reconstruction." Applied Mechanics and Materials 307 (February 2013): 23–26. http://dx.doi.org/10.4028/www.scientific.net/amm.307.23.

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Mojette Transform (MOT) is used mainly in imaging implementation of mechatronicbased imaging system to reconstruct a discrete signal from a finite set of projection planes. The MOT uses a specific algorithm, called Corner Based Inversion (CBI), to reconstruct an image from its projections offering high-speed computing properties. Moreover, the MOT ensures a very low complexity in comparison to the reconstruction based on Fast Fourier Transform (FFT). In this paper, Graphic Processing Unit (GPU) based MOT is presented and also CPU and GPU processing are issued from 1283 image pixels. In the res

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Gao, Ling, Zhen Zhang, Lin Chen, and Huabao Li. "River Surface Space–Time Image Velocimetry Based on Dual-Channel Residual Network." Applied Sciences 15, no. 10 (2025): 5284. https://doi.org/10.3390/app15105284.

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Space–Time Image Velocimetry (STIV) estimates the one-dimensional time-averaged velocity by analyzing the main orientation of texture (MOT) in space–time images (STIs). However, environmental interference often blurs weak tracer textures in STIs, limiting the accuracy of traditional MOT detection algorithms based on shallow features like images’ gray gradient. To solve this problem, we propose a deep learning-based MOT detection model using a dual-channel ResNet (DCResNet). The model integrates gray and edge channels through ResNet18, performs weighted fusion on the features extracted from two

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4

Abensour, Liliane. "Mot, image, concept dans la littérature psychanalytique anglaise." Cahiers Charles V 11, no. 1 (1989): 33–42. http://dx.doi.org/10.3406/cchav.1989.1026.

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5

Gong, Xuan, Zichun Le, Yukun Wu, and Hui Wang. "Real-Time Multiobject Tracking Based on Multiway Concurrency." Sensors 21, no. 3 (2021): 685. http://dx.doi.org/10.3390/s21030685.

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This paper explored a pragmatic approach to research the real-time performance of a multiway concurrent multiobject tracking (MOT) system. At present, most research has focused on the tracking of single-image sequences, but in practical applications, multiway video streams need to be processed in parallel by MOT systems. There have been few studies on the real-time performance of multiway concurrent MOT systems. In this paper, we proposed a new MOT framework to solve multiway concurrency scenario based on a tracking-by-detection (TBD) model. The new framework mainly focuses on concurrency and

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Dao, Minh-Quan, and Vincent Frémont. "A Two-Stage Data Association Approach for 3D Multi-Object Tracking." Sensors 21, no. 9 (2021): 2894. http://dx.doi.org/10.3390/s21092894.

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Multi-Object Tracking (MOT) is an integral part of any autonomous driving pipelines because it produces trajectories of other moving objects in the scene and predicts their future motion. Thanks to the recent advances in 3D object detection enabled by deep learning, track-by-detection has become the dominant paradigm in 3D MOT. In this paradigm, a MOT system is essentially made of an object detector and a data association algorithm which establishes track-to-detection correspondence. While 3D object detection has been actively researched, association algorithms for 3D MOT has settled at bipart

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Wei, Hongjian, and Yingping Huang. "Online Multiple Object Tracking Using Spatial Pyramid Pooling Hashing and Image Retrieval for Autonomous Driving." Machines 10, no. 8 (2022): 668. http://dx.doi.org/10.3390/machines10080668.

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Multiple object tracking (MOT) is a fundamental issue and has attracted considerable attention in the autonomous driving community. This paper presents a novel MOT framework for autonomous driving. The framework consists of two stages of object representation and data association. In the stage of object representation, we employ appearance, motion, and position features to characterize objects. We design a spatial pyramidal pooling hash network (SPPHNet) to generate the appearance features. Multiple-level representative features in the SPPHNet are mapped into a similarity-preserving binary spa

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Advitiya, C. S., R. Shenoy Adarsh, A. R. Shravya, Battula Abhishek, Raghavendra Akash, and Krishnan R. Dr. "Multiple Object Tracking for Video Analysis and Surveillance: A Literature Survey." International Journal of Innovative Science and Research Technology 8, no. 2 (2023): 1617–26. https://doi.org/10.5281/zenodo.7707008.

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Multiple Object Tracking (MOT) is the detection of unique objects and their movements through frames. There are various issues in Multiple Object Tracking like occlusions, similar appearance of different objects, interaction among multiple objects, etc. There are even more issues with Object Tracking in aerial image sequences due to weather conditions, small sizes of objects, distortion in proportions, etc. Even with the various techniques and methods developed for MOT, only a fraction are able to perform on aerial image sequences with the rest focusing on ground level image sequences. Researc

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9

Chol, Isabelle, and Anne Reverseau. "La poésie comme une « image ». Emplois et valeurs du mot dans le discours critique des poètes français." Tangence, no. 124 (September 23, 2021): 11–28. http://dx.doi.org/10.7202/1081685ar.

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Si les réflexions sur l’image ne sont pas nouvelles, qu’elles s’inscrivent dans le champ de la rhétorique, de l’esthétique, mais aussi de la physiologie et de la psychologie qui se sont développées au xixe siècle, le mot est particulièrement fréquent dans le premier tiers du xxe siècle, marqué par le symbolisme finissant, l’esprit nouveau et les premières avant-gardes. Il prend place au sein de discours qui tentent de réévaluer les « moyens » de la création poétique et, plus largement, d’en définir les contours, notamment au regard des arts visuels. Cet article se propose d’étudier les valeurs

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10

Singh, Gurinderbeer, Sreeraman Rajan, and Shikharesh Majumdar. "A Fast-Iterative Data Association Technique for Multiple Object Tracking." International Journal of Semantic Computing 12, no. 02 (2018): 261–85. http://dx.doi.org/10.1142/s1793351x18400135.

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A massive amount of video data is recorded daily for forensic post analysis and computer vision applications. The analyses of this data often require multiple object tracking (MOT). Advancements in image analysis algorithms and global optimization techniques have improved the accuracy of MOT, often at the cost of slow processing speed which limits its applications only to small video datasets. With the focus on speed, a fast-iterative data association technique (FIDA) for MOT that uses a tracking-by-detection paradigm and finds a locally optimal solution with a low computational overhead is in

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11

Ortigues, Edmond. "Réponse à l'article d'Hélène Brunschwig « Mot et image. L'enfant-télé »." Imaginaire & Inconscient 3, no. 3 (2001): 69. http://dx.doi.org/10.3917/imin.003.0069.

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12

Poisson, Catherine. "Frictions : Mot et image chez Marie NDiaye et Camille Laurens." Contemporary French and Francophone Studies 11, no. 4 (2007): 489–96. http://dx.doi.org/10.1080/17409290701661926.

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13

Ali, Rasho, Max Mehltretter, and Christian Heipke. "Integrating Viewing Direction and Image Features for Robust Multi-View Multi-Object 3D Pedestrian Tracking." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences X-G-2025 (July 10, 2025): 47–55. https://doi.org/10.5194/isprs-annals-x-g-2025-47-2025.

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Abstract. Recently, there has been growing interest in the development of 3D multi-view, multi-object detection and tracking models (MV-MOD and MV-MOT), resulting in significant methodological advances. However, many of these developments do not address the critical challenge of generalization across different camera constellations, i.e., having camera constellations that differ between training and testing, limiting their effectiveness in real-world applications. A key factor often overlooked is the influence of the direction of the optical axis during image capture, which is not adequately p

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14

Ahn, Woo-Jin, Koung-Suk Ko, Myo-Taeg Lim, Dong-Sung Pae, and Tae-Koo Kang. "Multiple Object Tracking Using Re-Identification Model with Attention Module." Applied Sciences 13, no. 7 (2023): 4298. http://dx.doi.org/10.3390/app13074298.

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Multi-object tracking (MOT) has gained significant attention in computer vision due to its wide range of applications. Specifically, detection-based trackers have shown high performance in MOT, but they tend to fail in occlusive scenarios such as the moment when objects overlap or separate. In this paper, we propose a triplet-based MOT network that integrates the tracking information and the visual features of the object. Using a triplet-based image feature, the network can differentiate similar-looking objects, reducing the number of identity switches over a long period. Furthermore, an atten

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Li, Xi, Ruixiang Zhu, Xianguo Yu, and Xiangke Wang. "High-Performance Detection-Based Tracker for Multiple Object Tracking in UAVs." Drones 7, no. 11 (2023): 681. http://dx.doi.org/10.3390/drones7110681.

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As a result of increasing urbanization, traffic monitoring in cities has become a challenging task. The use of Unmanned Aerial Vehicles (UAVs) provides an attractive solution to this problem. Multi-Object Tracking (MOT) for UAVs is a key technology to fulfill this task. Traditional detection-based-tracking (DBT) methods begin by employing an object detector to retrieve targets in each image and then track them based on a matching algorithm. Recently, the popular multi-task learning methods have been dominating this area, since they can detect targets and extract Re-Identification (Re-ID) featu

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16

Patiño-Lakatos, Gabriela. "Rapports entre mot, image et chose dans le processus de subjectivation." Revista Latinoamericana de Psicopatologia Fundamental 23, no. 2 (2020): 396–417. http://dx.doi.org/10.1590/1415-4714.2020v23n2p396.13.

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Cet article propose une réflexion sur le recouvrement sémiologique et sur le refoulement de l'image dans la conceptualisation du signe linguistique. Après Freud, une lecture lacanienne - et une relecture de Lacan - permet de reformuler la réflexion sur les rapports entre le mot, l'image et la chose. A partir des trois registres du symbolique, de l'imaginaire et du réel, l'on peut penser le fonctionnement de l'image comme signe à condition que celle-ci appelle l'articulation d'un texte dont elle puisse, à un moment donné, devenir le signifié. L'image garde cependant une liberté fondamentale au

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17

Wang, Yifeng, Zhijiang Zhang, Ning Zhang, and Dan Zeng. "Attention Modulated Multiple Object Tracking with Motion Enhancement and Dual Correlation." Symmetry 13, no. 2 (2021): 266. http://dx.doi.org/10.3390/sym13020266.

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The one-shot multiple object tracking (MOT) framework has drawn more and more attention in the MOT research community due to its advantage in inference speed. However, the tracking accuracy of current one-shot approaches could lead to an inferior performance compared with their two-stage counterparts. The reasons are two-fold: one is that motion information is often neglected due to the single-image input. The other is that detection and re-identification (ReID) are two different tasks with different focuses. Joining detection and re-identification at the training stage could lead to a subopti

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18

Li, M., J. Li, A. Tamayo, and L. Nan. "MULTIPLE OBJECT TRACKING USING A TRANSFORM SPACE." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences V-4-2022 (May 18, 2022): 137–43. http://dx.doi.org/10.5194/isprs-annals-v-4-2022-137-2022.

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Abstract. This paper presents a method for multiple object tracking (MOT) in video streams. The method incorporates the prediction of physical locations of people into a tracking-by-detection paradigm. We predict the trajectories of people on an estimated ground plane and apply a learning-based network to extract the appearance features across frames. The method transforms the detected object locations from image space to an estimated ground space to refine the tracking trajectories. This transform space allows the objects detected from multi-view images to be associated under one coordinate s

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19

Saber, Akram Hatem, Mohd Ayyub Khan, and Basim Galeb Mejbel. "RDLNN-based Image Forgery Detection and Forged Region Detection Using MOT." Karbala International Journal of Modern Science 8, no. 4 (2022): 596–606. http://dx.doi.org/10.33640/2405-609x.3260.

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20

Fu, Teng, Haiyang Yu, Ke Niu, Bin Li, and Xiangyang Xue. "Foundation Model Driven Appearance Extraction for Robust Multiple Object Tracking." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 3 (2025): 3031–39. https://doi.org/10.1609/aaai.v39i3.32311.

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Multiple Object Tracking (MOT) is a fundamental task in computer vision. Existing methods utilize motion information or appearance information to perform object tracking. However, these algorithms still struggle with special circumstances, such as occlusion and blurring in complex scenes. Inspired by the fact that people can pinpoint objects through verbal descriptions, we explore performing long-term robust tracking using semantic features of objects. Motivated by the success of the multimodal foundation model in text-image alignment, we reconsider the appearance feature extraction module in

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21

Woldt, Isabella. "Entre mot et image. Warburg et le livre illustré, Rembrandt et Tacite." Revue germanique internationale, no. 28 (December 27, 2018): 183–97. http://dx.doi.org/10.4000/rgi.1998.

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22

Bochnakowa, Anna. "Notre première boisson – le lait. Étude du mot en français et en polonais." Acta Universitatis Lodziensis. Folia Litteraria Romanica, no. 14 (December 30, 2019): 99–107. http://dx.doi.org/10.18778/1505-9065.14.09.

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Le mot désignant la première boisson de notre vie paraît peu original comme objet d’intérêt. Mais puisqu’il est des plus courants et connu de tous, nous présentons son fonctionnement dans le sens premier et dans d’autres acceptions dans le registre standard, dans la langue technique, dans le sens figuré ; nous observons les formations dérivées et composées et les expressions phraséologiques françaises et polonaises avec lait / mleko. Nous évoquons le lien entre le lait et le vin, présent uniquement en français et visible à travers quelques expressions. Nous essayons d’en tirer une image sémant

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23

Wang, Bai Hua, Xiang Guo, Zhi Yu Hu, Li Ping Kong, and Bao Guo Zhang. "Effects of Different Kinds of Embedding Media on the Image Definition of Animal Fibers using Differential Interference Contrast Light Microscopy." Advanced Materials Research 332-334 (September 2011): 49–55. http://dx.doi.org/10.4028/www.scientific.net/amr.332-334.49.

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In this study, the image definition of animal fibers captured by Axioskop 2 MOT PLUS differential interference contrast (DIC) light microscope using 1-bromonaphthalene, diethylene glycol, n-decyl alcohol, and ethylene glycol monomethyl ether as embedding medium, respectively, is compared with the image definition obtained using paraffin wax, the reference embedding medium. The effects of the four kinds of embedding media on the image definition of camel cashmere, yak cashmere, wool, and cashmere are also analyzed. Results show that topographical feature, scale structure, and pigmentation are b

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24

Wu, Han, Chenjie Du, Zhongping Ji, Mingyu Gao, and Zhiwei He. "SORT-YM: An Algorithm of Multi-Object Tracking with YOLOv4-Tiny and Motion Prediction." Electronics 10, no. 18 (2021): 2319. http://dx.doi.org/10.3390/electronics10182319.

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Multi-object tracking (MOT) is a significant and widespread research field in image processing and computer vision. The goal of the MOT task consists in predicting the complete tracklets of multiple objects in a video sequence. There are usually many challenges that degrade the performance of the algorithm in the tracking process, such as occlusion and similar objects. However, the existing MOT algorithms based on the tracking-by-detection paradigm struggle to accurately predict the location of the objects that they fail to track in complex scenes, leading to tracking performance decay, such a

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Lu, Jianghuai, Xiaohong Yang, and Jianping Wang. "Velocity Vector Estimation of Two-Dimensional Flow Field Based on STIV." Sensors 23, no. 2 (2023): 955. http://dx.doi.org/10.3390/s23020955.

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As an important part of hydrometry, river discharge monitoring plays an irreplaceable role in the planning and management of water resources and is an essential element and necessary means of river management. Due to its benefits of simplicity, efficiency and safety, Space-Time Image Velocimetry (STIV) has attracted attention from all around the world. The most crucial component of the STIV is the detection of the Main Orientation of Texture (MOT), and the precision of detection directly affects the results of calculations. However, due to the complicated river flow characteristics and the har

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Hao, Hexiang, Yueping Peng, Zecong Ye, et al. "A High Performance Air-to-Air Unmanned Aerial Vehicle Target Detection Model." Drones 9, no. 2 (2025): 154. https://doi.org/10.3390/drones9020154.

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In the air-to-air UAV target detection tasks, the existing algorithms suffer from low precision, low recall and high dependence on device processing power, which makes it difficult to detect UAV small targets efficiently. To solve the above problems, this paper proposes an high-precision model, ATA-YOLOv8. In this paper, we analyze the problem of UAV small target detection from the perspective of the efficient receptive field. The proposed model is evaluated using two air-to-air UAV image datasets, MOT-FLY and Det-Fly, and compared with YOLOv8n and other SOTA algorithms. The experimental resul

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Minato, Luana. "Quand la littérature emprunte à la bande dessinée l’articulation entre mot, image et sonorité." Italies, no. 16 (June 1, 2012): 475–92. http://dx.doi.org/10.4000/italies.4536.

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28

Yang, Shuai, Zhihui Zou, Yingchao Li, Haodong Shi, and Qiang Fu. "Accurate Tracking Algorithm for Cluster Targets in Multispectral Infrared Images." Applied Sciences 13, no. 13 (2023): 7931. http://dx.doi.org/10.3390/app13137931.

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To address the issue of poor tracking accuracy and the low recognition rate for multiple small targets in infrared images caused by uneven image intensity, this paper proposes an accurate tracking algorithm based on optical flow estimation. The algorithm consists of several steps. Firstly, an infrared image subspace model is established. Secondly, a full convolutional network (FCN) is utilized for local double-threshold segmentation of the target image. Furthermore, a target observation model is established using SIR filtering particles. Lastly, a shift vector sum algorithm is employed to enha

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29

Djavadzadeh, Keivan. "Les politiques « Chyennes1 » du rap féminin hardcore." Articles 27, no. 1 (2014): 183–200. http://dx.doi.org/10.7202/1025422ar.

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En 1991, Bytches With Problems (BWP), groupe de rap féminin hardcore, sort son unique album, The Bytches. Cet article se propose d’analyser les « politiques Chiennes » à l’oeuvre dans cet album. Il s’agit d’examiner comment des rappeuses ont investi un genre éminemment masculin, le gangsta-rap, et ont performé une image de féminité hors norme, celle de la « Chienne » (Bitch). En rejouant l’injure « chienne », en vidant ce mot de son pouvoir de blesser et en le dotant d’attributs « capacitants », les rappeuses ont donné à entendre un discours singulier et subversif dans le rap.

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Lee, Seungju, Yoonjae Chung, and Wontae Kim. "Enhancing Inductive IR Thermography by Using FFT-Equalization, Motion Tracking Detection and VDSR Super-resolution Processing." International Journal of Precision Engineering and Manufacturing-Smart Technology 2, no. 2 (2024): 133–42. http://dx.doi.org/10.57062/ijpem-st.2024.00108.

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Among non-destructive inspection techniques, infrared thermography stands out as a promising technology that enables real-time inspection of large areas without the need for physical contact. In this study, we employed the dynamic induction thermography method, which is one of the active infrared thermography techniques, to detect defects on the back side of the S275 material specimen. This technique involves creating relative movement between the IR camera and the specimen. We acquired sequence images at different moving speeds using the induction thermography technique, and then used the FFT

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Yi, Kefu, Kai Luo, Xiaolei Luo, et al. "UCMCTrack: Multi-Object Tracking with Uniform Camera Motion Compensation." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 7 (2024): 6702–10. http://dx.doi.org/10.1609/aaai.v38i7.28493.

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Multi-object tracking (MOT) in video sequences remains a challenging task, especially in scenarios with significant camera movements. This is because targets can drift considerably on the image plane, leading to erroneous tracking outcomes. Addressing such challenges typically requires supplementary appearance cues or Camera Motion Compensation (CMC). While these strategies are effective, they also introduce a considerable computational burden, posing challenges for real-time MOT. In response to this, we introduce UCMCTrack, a novel motion model-based tracker robust to camera movements. Unlike

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Ryu, James, Amin Nejatbakhsh, Mahdi Torkashvand, et al. "Versatile multiple object tracking in sparse 2D/3D videos via deformable image registration." PLOS Computational Biology 20, no. 5 (2024): e1012075. http://dx.doi.org/10.1371/journal.pcbi.1012075.

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Tracking body parts in behaving animals, extracting fluorescence signals from cells embedded in deforming tissue, and analyzing cell migration patterns during development all require tracking objects with partially correlated motion. As dataset sizes increase, manual tracking of objects becomes prohibitively inefficient and slow, necessitating automated and semi-automated computational tools. Unfortunately, existing methods for multiple object tracking (MOT) are either developed for specific datasets and hence do not generalize well to other datasets, or require large amounts of training data

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33

Vauthier, Simone. "Tableaux imaginaires dans un roman de Hugh Hood." Études littéraires 28, no. 3 (2005): 77–90. http://dx.doi.org/10.7202/501135ar.

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Le roman de Hugh Hood, A New Athens , offre un large champ d'enquête à qui s'intéresse à l'inscription du pictural dans la fiction. Le présent article étudie de manière détaillée deux descriptions de tableaux imaginaires et leur fonctionnement dans l'économie du roman. mis en oeuvre par des stratégies et des procédés variés, le jeu avec la linéarité et la spatialité remet en cause l'idée couramment reçue selon laquelle le visuel est synchronique et le verbal diachronique. Dans ce roman d'un écrivain catholique, l'opposition entre mot et image se résout dans un système de signes qui a sa source

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Lu, Jike. "Brachialis Muscle Ischemia Causing Elbow Flexion Deformity with Myositis Ossificans – A Case Report." Journal of Clinical Research and Reports 19, no. 5 (2025): 01–07. https://doi.org/10.31579/2690-1919/530.

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Myositis ossificans (MO) is a rare entity of extra-skeletal bone formation in various muscles, most commonly in quadriceps, gluteals, small muscles of hand and brachialis, which often triggered by trauma or ischemia. It is first described in medical literature during the 17th–18th centuries, with early cases linked to traumatic injuries. Traumatic MO Formally classified by German pathologist Von Dusch in 1868. Historically, it was termed "rider's bone" due to its association with horseback riding injuries. Repeated trauma to the elbow from sports may be linked to the development of myositis os

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Kim, Ji Seong, Doo Soo Chang, and Yong Suk Choi. "Enhancement of Multi-Target Tracking Performance via Image Restoration and Face Embedding in Dynamic Environments." Applied Sciences 11, no. 2 (2021): 649. http://dx.doi.org/10.3390/app11020649.

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In this paper, we propose several methods to improve the performance of multiple object tracking (MOT), especially for humans, in dynamic environments such as robots and autonomous vehicles. The first method is to restore and re-detect unreliable results to improve the detection. The second is to restore noisy regions in the image before the tracking association to improve the identification. To implement the image restoration function used in these two methods, an image inference model based on SRGAN (super-resolution generative adversarial networks) is used. Finally, the third method include

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Kim, Ji Seong, Doo Soo Chang, and Yong Suk Choi. "Enhancement of Multi-Target Tracking Performance via Image Restoration and Face Embedding in Dynamic Environments." Applied Sciences 11, no. 2 (2021): 649. http://dx.doi.org/10.3390/app11020649.

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In this paper, we propose several methods to improve the performance of multiple object tracking (MOT), especially for humans, in dynamic environments such as robots and autonomous vehicles. The first method is to restore and re-detect unreliable results to improve the detection. The second is to restore noisy regions in the image before the tracking association to improve the identification. To implement the image restoration function used in these two methods, an image inference model based on SRGAN (super-resolution generative adversarial networks) is used. Finally, the third method include

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37

Ndiaye, Moussa D. "Esquisse d’une morphologie du wolof." Revue québécoise de linguistique 23, no. 1 (2009): 125–37. http://dx.doi.org/10.7202/603083ar.

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RÉSUMÉ La tradition descriptive du wolof admet généralement que les constructions telles que l’inversif, l’inchoatif, le causatif, la nominalisation, etc. sont obtenues en adjoignant un suffixe à un radical. Or, un tel modèle morphologique basée sur le mot, implique le recours à un catalogue de règles phonologiques qui ne sont pas évidentes dans la grammaire du wolof. Notre propos consiste à démontrer que le système morphologique du wolof accorde plus d’importance au squelette-CV qu’à une trame phonétique. L’analyse proposée permet donc d’éliminer un certain nombre de paradoxes découlant de la

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Liandrat-Guigues, Suzanne. "Elle marchait comme on rit." Figures de l'Art. Revue d'études esthétiques 14, no. 1 (2008): 227–32. http://dx.doi.org/10.3406/fdart.2008.1489.

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Avec Lola, Jacques Demy renouvelle l''image de la “ passante” en un personnage dansant associé au Passage Pommeraye, édifice nantais célébré par les Surréalistes. Ainsi la flânerie benjaminienne se trouve reconduite et déplacée en 1960 au moyen d''une figure féminine particulièrement séduisante qui peut valoir pour l''idée elle-même. La désinvolture qui s''attache à cette nouvelle “ flâneuse” fait fond sur la complexité de l''architecture décorative du célèbre édifice si l''on veut bien y voir une façon de repenser l''étymologie du mot dans ses rapports aux mouvements d''envelopper, d’enrouler

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Peloso, Silvano. "Poética e Filosofia da Memória na Lírica ee Camões." Philosophica: International Journal for the History of Philosophy 8, no. 15 (2000): 65–78. http://dx.doi.org/10.5840/philosophica20008156.

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Les Redondilhas de Luís de Camões constituent un exemple significatif de ce “théâtre de la mémoire”, au sens large, qui a connu au XVI ème siècle son moment le plus mûr et de plus grande diffusion. On y trouve un ensemble de variantes mnémotechniques, de schèmes de la rhétorique sacrée et profane, de jeux qui produisent des textes et des textes qui produisent des jeux. On y trouve aussi un spécial rapport entre mot et image, entre contenu et expression, qui offre, même en sens ésotérique, une importante clé de lecture pour l’ensemble de l’époque. Entre le labyrinthe des mots et l’ordre de la b

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Krogstad, Anna. "Kunsten å gjøre ingenting, men være alt." Rhetorica Scandinavica 18, no. 66/67 (2014): 35–56. http://dx.doi.org/10.52610/rhs.v18i66/67.109.

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Politikeres profilbilder på Facebook kan ses som syntetisert politikk i visuell, personliggjort form. De gir politikere et helt konkret og gripbart menneskelig uttrykk. I artikkelen analyseres og sammenliknes nordiske statsministeres bruk av profilbilder som politisk retorikk. Bildenes visuelle elementer drøftes i lys av politikernes partitilhørighet, kjønn, politiske situasjon og kultur. Deretter drøftes profilbildenes retoriske potensial opp mot det som i forskningslitteraturen fremheves som ti sentrale funksjoner ved bilder som politisk kommunikasjon: Bilder dokumenterer, argumenterer, dram

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Yan, Xuzhong, Yiqiao Zhu, Zeli Wang, Bin Xu, Liu He, and Rong Xia. "Intelligent Flood Scene Understanding Using Computer Vision-Based Multi-Object Tracking." Water 17, no. 14 (2025): 2111. https://doi.org/10.3390/w17142111.

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Understanding flood scenes is essential for effective disaster response. Previous research has primarily focused on computer vision-based approaches for analyzing flood scenes, capitalizing on their ability to rapidly and accurately cover affected regions. However, most existing methods emphasize static image analysis, with limited attention given to dynamic video analysis. Compared to image-based approaches, video analysis in flood scenarios offers significant advantages, including real-time monitoring, flow estimation, object tracking, change detection, and behavior recognition. To address t

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Chardon, Saint-Cyr, and Jacques Baille. "Orientation du traitement dans une tâche de jugement d'adéquation entre un mot et une image chez de jeunes élèves." Revue française de pédagogie 122, no. 1 (1998): 69–81. http://dx.doi.org/10.3406/rfp.1998.1137.

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Migdał, Anna M. "Du sonore au visuel – à la recherche des modalités du message publicitaire au Moyen Âge et de sa réinterprétation moderne." Eruditio et Ars 9, no. 2 (2024): 9–19. https://doi.org/10.5281/zenodo.15471021.

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Les espaces publics et privés actuels, assujettis à la vie en société inondée par toute sorte de médias jouant avec les sensations provoquées par différents stimuli auditifs et visuels, en tant que combinaison d’éléments constitutifs d’un processus mental, par lequel un sujet acquiert, emmagasine, récupère et utilise des informations. La publicité est devenue une réalité sociale, voire le « fait social total» conquérant pratiquement chaque domaine du quotidien

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Bohush, R., and I. Zakharava. "Person tracking algorithm based on convolutional neural network for indoor video surveillance." Computer Optics 44, no. 1 (2020): 109–16. http://dx.doi.org/10.18287/2412-6179-co-565.

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In this paper, a person tracking algorithm for indoor video surveillance is presented. The algorithm contains the following steps: person detection, person features formation, features similarity calculation for the detected objects, postprocessing, person indexing, and person visibility determination in the current frame. Convolutional Neural Network (CNN) YOLO v3 is used for person detection. Person features are formed based on H channel in HSV color space histograms and a modified CNN ResNet. The proposed architecture includes 29 convolutional and one fully connected layer. As the output, i

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Borowczyk, Paulina. "Comment la présence de l’image influence-t-elle les décisions du traducteur? Étude des relations du couple mot/image dans la traduction filmique." Studia Romanica Posnaniensia 48, no. 4 (2021): 51–64. http://dx.doi.org/10.14746/strop.2021.484.004.

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The audiovisual text constitutes an inherent and obvious whole, the components of which, being linked to each other and entering into different types of relations and interactions, contribute to the construction of its meaning. This article presents a study of cases where visual information influences decisions made by the translator and ultimately sometimes changes the translation of dubbed dialogues. In the analysis, the following examples are distinguished:– those in which, under the influence of the image, the translator modifies the source text (compared to the original version) by adapti

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Hubert, Hervé, Thamy Ayouch, and Yu Hu. "Transidentity and Psychoanalysis: Laying New Bases." Recherches en psychanalyse N° 29, no. 1 (2021): 21a—30a. http://dx.doi.org/10.3917/rep2.029.0021a.

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Les rencontres faites avec les personnes transidentitaires ont provoqué un véritable renversement pratique et théorique. Ces renversements ont dépassé la question transidentitaire pour penser autrement l’abord psychanalytique des problématiques humaines et aboutir à la construction d’une psychanalyse nouvelle, la psychanalyse sociale. Cette dernière se distingue de la psychanalyse classique en partant d’une autre base : la base de la vie sociale qui est transférentielle. Dans ce contexte de vie sociale transférentielle, la référence à l’œuvre de Marx est utilisée et permet une analyse des expé

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Córdoba Serrano, María Sierra. "Traduction littéraire et diplomatie culturelle. Le cas de la fiction québécoise traduite en Espagne1." Globe 13, no. 1 (2010): 47–71. http://dx.doi.org/10.7202/044639ar.

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Cet article montre que si la fiction québécoise réussit à franchir les frontières linguistiques et culturelles et à se créer un espace de réception dans les champs littéraires espagnol et catalan – et ce malgré les nombreux obstacles à la diffusion d’une littérature minoritaire – c’est grâce à l’action d’acteurs institutionnels associés au gouvernement fédéral canadien et au gouvernement provincial québécois. Un tel investissement est motivé par le fait que la traduction littéraire est considérée comme un outil au service de la diplomatie culturelle qui sert à construire une « image de marque

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Zhang, Zhen, Lin Chen, Zhang Yuan, and Ling Gao. "Validity Identification and Rectification of Water Surface Fast Fourier Transform-Based Space-Time Image Velocimetry (FFT-STIV) Results." Sensors 25, no. 1 (2025): 257. https://doi.org/10.3390/s25010257.

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Fast Fourier Transform-based Space-Time Image Velocimetry (FFT-STIV) has gained considerable attention due to its accuracy and efficiency. However, issues such as false detection of MOT and blind areas lead to significant errors in complex environments. This paper analyzes the causes of FFT-STIV gross errors and then proposes a method for validity identification and rectification of FFT-STIV results. Three evaluation indicators—symmetry, SNR, and spectral width—are introduced to filter out invalid results. Thresholds for these indicators are established based on diverse and complex datasets, e

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Merlin, Hélène. "Langue et souveraineté en France au XVIIe siècle. La production autonome d'un corps de langage." Annales. Histoire, Sciences Sociales 49, no. 2 (1994): 369–94. http://dx.doi.org/10.3406/ahess.1994.279265.

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Dans le langage classique, ce sont les rapportsqui mènent le mot puis l'emportent aussitôtvers un sens toujours projeté […]. Le langageclassique se réduit toujours à un contenu persuasif,il postule le dialogue, il institue un universoù les hommes ne sont pas seuls […], où laparole est toujours la rencontre d'autrui. Le langageclassique est porteur d'euphorie parce quec'est un langage immédiatement social. Il n'y aaucun genre, aucun récit classique qui ne se supposeune consommation collective et commeparlée […].Cet extrait du Degré zéro de l'écriture (1953) de Roland Barthes offre un point de v

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Wei, Keling. "Pluralité des voix et repentirs autobiographiques : une lecture d’Enfance de Nathalie Sarraute." Études françaises 40, no. 2 (2004): 101–14. http://dx.doi.org/10.7202/008813ar.

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Résumé Enfant, infans : celui « qui ne parle pas ». Qui ne se laisse pas écrire. C’est vers ce mutisme et cette résistance que Nathalie Sarraute procède, péniblement, à écrire son récit d’enfance, « une enfance qui n’est pas un âge de la vie et qui ne passe pas. Elle hante le discours » (Lyotard). C’est un discours rapporté par la voix narratrice. L’enfance de « Natacha » est déjà tortillée, déchirée, donc loin de cette image de « pureté », d’« innocence » ; la narration de cette enfance devient ainsi plurielle, ramifiée, morcelée. D’où les repentirs : d’une part, le sentiment d’impuissance, d

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