Results 11 to 20 of about 4,211,092 (246)
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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Network Consistent Data Association [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016 Existing data association techniques mostly focus on matching pairs of data-point sets and then repeating this process along space-time to achieve long term correspondences. However, in many problems such as person re-identification, a set of data-points may be observed at multiple spatio-temporal locations and/or by multiple agents in a network and ...
Chakraborty, Anirban +2 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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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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