Results 1 to 10 of about 287,203 (263)
Transformer-Based Maneuvering Target Tracking [PDF]
Sensors, 2022 When tracking maneuvering targets, recurrent neural networks (RNNs), especially long short-term memory (LSTM) networks, are widely applied to sequentially capture the motion states of targets from observations. However, LSTMs can only extract features of
Guanghui Zhao +4 more
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Computer vision based obstacle detection and target tracking for autonomous vehicles [PDF]
MATEC Web of Conferences, 2021 Obstacle detection and target tracking are two major issues for intelligent autonomous vehicles. This paper proposes a new scheme to achieve target tracking and real-time obstacle detection of obstacles based on computer vision.
Fang Ruoyu, Cai Cheng
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Orthogonal Single-Target Tracking
IEEE Access, 2022 In this study, we propose a novel Wasserstein distributional tracking method that can balance approximation with accuracy in terms of Monte Carlo estimation.
Youjin Kim, Junseok Kwon
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Signal Processing, 2023 This paper addresses the problem of real-time detection and tracking of a non-cooperative target in the challenging scenario with almost no a-priori information about target birth, death, dynamics and detection probability. Furthermore, there are false and missing data at an unknown yet low rate in the measurements.
Tiancheng Li, Yan Song, Hongqi Fan
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Long-Term Target Tracking of UAVs Based on Kernelized Correlation Filter
Mathematics, 2021 During the target tracking process of unmanned aerial vehicles (UAVs), the target may disappear from view or be fully occluded by other objects, resulting in tracking failure.
Junqiang Yang, Wenbing Tang, Zuohua Ding
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Vision-Based Target Tracking for Unmanned Surface Vehicle Considering Its Motion Features
IEEE Access, 2020 Target tracking is a key task for maintenance of maritime rights and interests in the coastal countries, which mainly depends on the cruises of large official ships, and their deficiencies are high cost and less stealth.
Jiucai Jin +5 more
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Tracking of interacting targets [PDF]
2017 20th International Conference on Information Fusion (Fusion), 2017 In this paper we present a method for the tracking of interacting targets disregarding whether or not the targets are close to each other. The method relies on parametric modeling of assumptions about targets interactive motion. Our filtering solution incorporates the parameters of the model in the state vector to perform on-line parameter estimation ...
Leon, C.M. +2 more
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IEEE Access, 2019 Existing extended target probability hypothesis density (ET-PHD) filters are insufficient in tracking weak extended targets. Hough transform-based track-before-detect methods are designed to detect the weak targets in a straight-line constant-velocity ...
Bo Yan +4 more
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Deep Learning-Based Ground Target Detection and Tracking for Aerial Photography from UAVs
Applied Sciences, 2021 Target detection and tracking can be widely used in military and civilian scenarios. Unmanned aerial vehicles (UAVs) have high maneuverability and strong concealment, thus they are very suitable for using as a platform for ground target detection and ...
Kaipeng Wang, Zhijun Meng, Zhe Wu
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A Review on Kernel Learning Method of Moving Target Tracking [PDF]
Hangkong bingqi, 2021 The kernel method maps the original spatial data to a high-dimensional Hilbert space by nonlinear mapping and hides the mapping in the linear learner. The kernel function is used to replace the complex inner product operation in high-dimensional space ...
Lou Jiaxin, Li Yuankai, Wang Yuan, Xu Yanke
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