A quantitative comparison of single-dye tracking analysis tools using Monte Carlo simulations. by Laura Weimann, Kristina A Ganzinger, James McColl, Kate L Irvine, Simon J Davis, Nicholas J Gay, Clare E Bryant, David Klenerman

“…Single-particle tracking (SPT) is widely used to study processes from membrane receptor organization to the dynamics of RNAs in living cells. …”
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Relationship between the cognitive load and the learning success in applying force diagrams: eye-tracking study by Yultuz Omarbakiyeva, Larissa Hahn, Pascal Klein, Ingrid Krumphals, Bianca Watzka, Bianca Watzka

“…IntroductionThis paper is concerned with investigating the cognitive demands of solving force diagram tasks in different scenarios, specifically in the wind context.MethodsIn this study, students were trained using worked examples and then completed tasks in two different scenarios while their eye movements were monitored with eye-tracking technology. After completing the tasks, cognitive load was assessed to evaluate the impact of task complexity on cognitive processing. …”
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Anomaly-Aware Tropical Cyclone Track Prediction Using Multi-Scale Generative Adversarial Networks by He Huang, Difei Deng, Liang Hu, Nan Sun

“…Accurate methods for forecasting TC tracks are essential to mitigate the loss of life and property associated with these hazards. …”
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Empirical Insights into Eye-Tracking for Design Evaluation: Applications in Visual Communication and New Media Design by Ruirui Guo, Nayeon Kim, Jisun Lee

“…This review shows that assessing visual designs based on eye-tracking data can enhance consumer-centered interfaces, better align with user preferences, and foster more engaged behaviors in both digital and physical environments. (4) Conclusions: This review deepens our understanding of the cognitive and emotional processes underlying visual engagement. …”
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Visual Servoing Using Sliding-Mode Control with Dynamic Compensation for UAVs’ Tracking of Moving Targets by Christian P. Carvajal, Víctor H. Andaluz, José Varela-Aldás, Flavio Roberti, Carolina Del-Valle-Soto, Ricardo Carelli

“…An Image-Based Visual Servoing Control (IBVS) structure for target tracking by Unmanned Aerial Vehicles (UAVs) is presented. …”
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Mean Shift Fusion Color Histogram Algorithm for Nonrigid Complex Target Tracking in Sports Video by Yu Liu, Xiaoyan Wang

“…We analyze and study the tracking of nonrigid complex targets of sports video based on mean shift fusion color histogram algorithm. …”
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Spatio-Temporal Feature Aware Vision Transformers for Real-Time Unmanned Aerial Vehicle Tracking by Hao Zhang, Hengzhou Ye, Xiaoyu Guo, Xu Zhang, Yao Rong, Shuiwang Li

“…Furthermore, our method integrates spatial and temporal information seamlessly into a unified framework through the introduction of a temporal feature fusion technique, thereby bolstering the overall performance of the model. NT-Track also incorporates a spatial neighborhood feature extraction module, which focuses on identifying and extracting features within the neighborhood of the target in each frame, ensuring continuous focus on the target during inter-frame processing. …”
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Results of exploring the force impact of 25 tf open-box cars on the rails of curved tracks by A. Yu. Lugovsky, O. K. Bogdanov

“…The researchers processed and analysed the data obtained for open-box cars with an axial load of 25 tf (245.3 kN). …”
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Convolutional neural networks-based red blood cell detection and tracking with automatic data generation by Kohei TOYAMA, Tomoki MIZUNO, Takuto ARAKI, Toru HYAKUTAKE

“…This may lead to a more detailed understanding of microcirculatory dynamics and related physiological processes.…”
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Transformer-Based Motion Predictor for Multi-Dancer Tracking in Non-Linear Movements of Dancesport Performance by Zhiling Wang

“…To bridge this gap, we propose the Multi-Dancer Spatio-Temporal Tracker (MDSTT), a novel transformer-based framework that exclusively leverages historical motion cues for robust and identity-consistent tracking. Unlike conventional tracking methods that integrate appearance features, MDSTT processes historical bounding box trajectories through a transformer encoder, capturing both long-range and short-term spatio-temporal dependencies while mitigating occlusion-induced identity switches. …”
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Advancing Underwater Vision: A Survey of Deep Learning Models for Underwater Object Recognition and Tracking by Mahmoud Elmezain, Lyes Saad Saoud, Atif Sultan, Mohamed Heshmat, Lakmal Seneviratne, Irfan Hussain

“…For tracking tasks, transformer-based models like SiamFCA and FishTrack leverage hierarchical attention mechanisms and convolutional neural networks (CNNs) to achieve high accuracy and robustness in dynamic underwater environments. …”
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Analysis and Tracking of Intra-Needle Ultrasound Pleural Signals for Improved Anesthetic Procedures in the Thoracic Region by Fu-Wei Su, Chia-Wei Yang, Ching-Fang Yang, Yi-En Tsai, Wei-Nung Teng, Huihua Kenny Chiang

“…Conclusions: The unique flickering pleural signal based on INUS can be processed by time-frequency domain analysis and further tracked by an auto-identification algorithm. …”
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Discrimination of Radiologists' Experience Level Using Eye-Tracking Technology and Machine Learning: Case Study by Stanford Martinez, Carolina Ramirez-Tamayo, Syed Hasib Akhter Faruqui, Kal Clark, Adel Alaeddini, Nicholas Czarnek, Aarushi Aggarwal, Sahra Emamzadeh, Jeffrey R Mock, Edward J Golob

“…ObjectiveThe objective of this study is to provide an alternative method for distinguishing between radiologists by means of captured eye-tracking data such that the raw gaze (or processed fixation data) can be used to discriminate users based on subconscious behavior in visual inspection. …”
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Tracking Lava Flow Cooling from Space: Implications for Erupted Volume Estimation and Cooling Mechanisms by Simone Aveni, Gaetana Ganci, Andrew J. L. Harris, Diego Coppola

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The Design and Evaluation of a Direction Sensor System Using Color Marker Patterns Onboard Small Fixed-Wing UAVs in a Wireless Relay System by Kanya Hirai, Masazumi Ueba

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Revolutionizing Gaze-Based Human–Computer Interaction Using Iris Tracking: A Webcam-Based Low-Cost Approach With Calibration, Regression and Real-Time Re-Calibration by Govind Ram Chhimpa, Ajay Kumar, Sunita Garhwal, Dhiraj, Faheem Khan, Yeon-Kug Moon

“…This paper introduces a video-based gaze-tracking method that presents an affordable, user-friendly, and dependable human-computer interaction (HCI) system based on iris movement. …”
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Output Feedback Adaptive Dynamic Surface Sliding-Mode Control for Quadrotor UAVs with Tracking Error Constraints by Guoqiang Zhu, Sen Wang, Lingfang Sun, Weichun Ge, Xiuyu Zhang

“…The main features of this work are (1) a nonlinear observer is employed to predict the motion velocities of the quadrotor UAV; therefore, only the position signals are needed for the position tracking controller design; (2) by using the minimum learning technology, there is only one parameter which needs to be updated online at each design step and the computational burden can be greatly reduced; (3) a performance function is introduced to transform the tracking error into a new variable which can make the tracking error of the system satisfy the prescribed performance indicators; (4) the sliding-mode surface is introduced in the process of the controller design, and the robustness of the system is improved. …”
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Additive manufacturing of a 3D-segmented plastic scintillator detector for tracking and calorimetry of elementary particles by Tim Weber, Andrey Boyarintsev, Umut Kose, Botao Li, Davide Sgalaberna, Tetiana Sibilieva, Johannes Wüthrich, Siddartha Berns, Eric Boillat, Albert De Roeck, Till Dieminger, Matthew Franks, Boris Grynyov, Sylvain Hugon, Carsten Jaeschke, André Rubbia

“…By combining fused deposition modeling with an injection process optimized for fabricating scintillation geometries, we produced an additively manufactured fine-granularity plastic scintillator detector with performance comparable to the state of the art, and demonstrated its capabilities for 3D tracking of elementary particles and energy-loss measurement. …”
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Modern technologies for hiding people's faces using object tracking based on YOLOv5 and DeepSort by А. Щур, О. Польшакова

“…Since most video editors still leave most of the work to the user, it was decided to optimize this process. The aim of this work is to reduce the time spent on the process of hiding human faces in video files. …”
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Tracking the correlation between spintronic structure and oxygen evolution reaction mechanism of cobalt-ruthenium-based electrocatalyst by Chen Wang, Chaoyuan Deng, Panlong Zhai, Xiaoran Shi, Wei Liu, Dingfeng Jin, Bing Shang, Junfeng Gao, Licheng Sun, Jungang Hou

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