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  1. 261

    Research on Target Tracking of Quadrotor UAV Based on Vision by LI Guoren, NIAN Xiaohong, ZHOU Zhihao

    Published 2018-01-01
    “…For the problems with traditional ground station vision processing systems, such as data transmission delay, limited flight distance, etc., we proposed a UAV dynamic target tracking system framework. …”
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    Article
  2. 262

    CUDA-Accelerated Geodesic Ray-Tracing for Fiber Tracking by Evert van Aart, Neda Sepasian, Andrei Jalba, Anna Vilanova

    Published 2011-01-01
    “…In this paper, we outline an approach to accelerating such a fiber-tracking algorithm using a Graphics Processing Unit (GPU). …”
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    Article
  3. 263

    A Cascaded Defect Detection Algorithm for Track Components by LIN Jun, KANG Gaoqiang, TU Zhenwei, XU Yanghan, YUE Wei, XIONG Qunfang

    Published 2022-06-01
    “…In the case of insufficient defect samples, the existing deep learning methods are prone to overfitting the model, and the generalization performance is poor, making it difficult to meet the actual track inspection requirements. To this end, this paper proposes a cascaded track component defect detection method which combines instance segmentation, fine-grained image classification and traditional image processing. …”
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  4. 264

    Collaborative Robot Control Based on Human Gaze Tracking by Francesco Di Stefano, Alice Giambertone, Laura Salamina, Matteo Melchiorre, Stefano Mauro

    Published 2025-05-01
    “…The results indicate that gaze tracking can effectively guide robot motion, though signal processing significantly impacts responsiveness and control precision. …”
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    Article
  5. 265
  6. 266

    Missingness-aware prompting for modality-missing RGBT tracking by Guyue Hu, Zhanghuan Wang, Chenglong Li, Duzhi Yuan, Bin He, Jin Tang

    Published 2025-07-01
    “…Existing methods for RGBT tracking are built upon pre-processed missingness-free datasets and suffer significant performance degradation when applied to noisy datasets with random missing modalities. …”
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    Fast Visual Tracking With Robustifying Kernelized Correlation Filters by Qianbo Liu, Guoqing Hu, Md Mojahidul Islam

    Published 2018-01-01
    “…Robust visual tracking is a challenging work because the target object suffers appearance variations over time. …”
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    Article
  9. 269

    Inventory Tracking for Unstructured Environments via Probabilistic Reasoning by Mabaran Rajaraman, Kyle Bannerman, Kenji Shimada

    Published 2020-07-01
    “…Workpiece location is critical to efficiently plan actions downstream in manufacturing processes. In labor-intensive heavy industries, like construction and shipbuilding, multiple stakeholders interact, stack and move workpieces in the absence of any system to log such actions. …”
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  10. 270

    patter: Particle algorithms for animal tracking in R and Julia by Edward Lavender, Andreas Scheidegger, Carlo Albert, Stanisław W. Biber, Janine Illian, James Thorburn, Sophie Smout, Helen Moor

    Published 2025-08-01
    “…Abstract State‐space models are a powerful modelling framework in movement ecology that represents individual movements and the processes connecting movements to observations. However, fitting state‐space models to animal‐tracking data can be difficult and computationally expensive. …”
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    Article
  11. 271
  12. 272

    Bayes‐optimal tracking of two statistically correlated targets in general clutter by Ronald Mahler

    Published 2022-12-01
    “…Abstract The Bernoulli filter is a very general, computationally feasible Bayes‐optimal approach for tracking a single disappearing and reappearing target, using a single sensor whose observations are corrupted by missed detections and a known, general point‐clutter process. …”
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    Research on efficiency of automation system with robot on linear motion track by Ernestas Rimša, Sergėjus Rimovskis, Artūras Sabaliauskas

    Published 2024-06-01
    “…The work presents an assessment of the efficiency and operational costs of modernized manufacturing process. The process consists of turning operations on two CNC lathe machines. …”
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  18. 278
  19. 279

    Enhancing multiple object tracking accuracy via quantum annealing by Yasuyuki Ihara

    Published 2025-07-01
    “…Abstract Multiple object tracking (MOT), a key task in image recognition, poses a persistent challenge in balancing processing speed and tracking accuracy. …”
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  20. 280