Results 21 to 30 of about 152,652 (199)
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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Sensors, 2023 The key issue of multiple extended target tracking is to differentiate the origins of the measurements. The association of measurements with the possible origins within the target’s extent is difficult, especially for occlusions or detection blind zones,
Kaiyi Jiang, Yiguo Li, Tianli Ma, Lin Li
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Hierarchical-Matching-Based Online and Real-Time Multi-Object Tracking with Deep Appearance Features
Algorithms, 2020 Based on tracking-by-detection, we propose a hierarchical-matching-based online and real-time multi-object tracking approach with deep appearance features, which can effectively reduce the false positives (FP) in tracking.
Qingge Ji, Haoqiang Yu, Xiao Wu
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Multi-Spacecraft Tracking and Data Association Based on Uncertainty Propagation
Applied Sciences, 2022 This paper proposed a novel multi-spacecraft tracking and data association method based on the orbit uncertainty propagation. The proposed method makes full use of the dynamic information and thus the data association performance is enhanced.
Xingyu Zhou, Shuo Wang, Tong Qin
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Use of Association Algorithms in Air Quality Monitoring
Atmosphere, 2023 Over the years, there has been a gradual increase in the emission of pollutants, and it is imperative to establish mechanisms to monitor air quality. In addition to carbon dioxide (CO2), particulate matter (PM) is considered one of the main types of air ...
Paulo Henrique Soares +4 more
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Data Association with Gaussian Processes [PDF]
, 2020 The data association problem is concerned with separating data coming from different generating processes, for example when data come from different data sources, contain significant noise, or exhibit multimodality. We present a fully Bayesian approach to this problem.
Markus Kaiser 0001 +3 more
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