Results 11 to 20 of about 10,152,951 (240)
Unpaired data empowers association tests [PDF]
Bioinformatics, 2019 Abstract Motivation There is growing interest in the biomedical research community to incorporate retrospective data, available in healthcare systems, to shed light on associations between different biomarkers.
Gong, Mingming +7 more
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Applied Sciences, 2022 Multi-Object Tracking (MOT) techniques have been under continuous research and increasingly applied in a diverse range of tasks. One area in particular concerns its application in navigation tasks of assistive mobile robots, with the aim to increase the ...
Ricardo Pereira +3 more
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A High-Precision Vehicle Detection and Tracking Method Based on the Attention Mechanism
Sensors, 2023 Vehicle detection and tracking technology plays an important role in intelligent transportation management and control systems. This paper proposes a novel vehicle detection and tracking method for small target vehicles to achieve high detection and ...
Jiandong Wang +3 more
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Remote Sensing, 2022 The task of multi-object tracking via deep learning methods for UAV videos has become an important research direction. However, with some current multiple object tracking methods, the relationship between object detection and tracking is not well handled,
Yeneng Lin +5 more
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Real-World Marine Radar Datasets for Evaluating Target Tracking Methods
Sensors, 2021 As autonomous navigation is being implemented in several areas including the maritime domain, the need for robust tracking is becoming more important for traffic situation awareness, assessment and monitoring.
Jaya Shradha Fowdur +2 more
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Multiple Hypothesis Detection and Tracking Using Deep Learning for Video Traffic Surveillance
IEEE Access, 2021 Moroccan Intelligent Transport System is the first Moroccan system that uses the latest advances in computer vision, machine learning and deep learning techniques to manage Moroccan traffic and road violations. In this paper, we propose a fully automatic
Hamd Ait Abdelali +4 more
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IEEE Access, 2022 Multiple-object tracking has long been a topic of interest since it plays an important role in many computer vision applications. Existing works are mostly designed for outdoor tracking, such as video surveillance and autonomous driving.
Cheng-Jen Liu, Tsung-Nan Lin
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Aircraft collision prediction based on binomial distribution / Прогноз возможности столкновения воздушных судов на основе биномиального распределения / Predikcija sudara aviona na osnovu binomne raspodele [PDF]
Vojnotehnički Glasnik, 2020 Introduction/purpose: Based on the binomial distribution of the probability density function, a new probabilistic model for aircraft position predicting is presented in this paper. Methods: The proposed algorithm is composed of three different blocks:
Zvonko M. Radosavljević +2 more
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Sensors, 2020 The stabilization and validation process of the measured position of objects is an important step for high-level perception functions and for the correct processing of sensory data. The goal of this process is to detect and handle inconsistencies between
Mircea Paul Muresan +2 more
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IEEE Access, 2021 The line segments of multiple (and nearly parallel) planar laser sources appearing in monocular video are objectively associated to their respective laser sources. Such association is a precursor to 3D surface digitization where each laser plane develops
Faisal R. Al-Osaimi
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