Results 11 to 20 of about 7,845,678 (386)
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
openaire +2 more sources
Distributed tracking with sequential Monte Carlo methods for manoeuvrable sensors [PDF]
, 2006 Nonlinear distributed tracking for a single target is addressed in this paper. This problem consists of tracking a target of interest while moving the sensors to `best' positions according to an critera appropriate for the problem.
Bull, DR, Canagarajah, CN, Jaward, MH
core +2 more sources
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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UAV Target Tracking in Urban Environments Using Deep Reinforcement Learning [PDF]
International Conference on Unmanned Aircraft Systems, 2020 Persistent target tracking in urban environments using UAV is a difficult task due to the limited field of view, visibility obstruction from obstacles and uncertain target motion.
Sarthak Bhagat, P. Sujit
semanticscholar +1 more source
Target-Aware Tracking with Long-term Context Attention [PDF]
AAAI Conference on Artificial Intelligence, 2023 Most deep trackers still follow the guidance of the siamese paradigms and use a template that contains only the target without any contextual information, which makes it difficult for the tracker to cope with large appearance changes, rapid target ...
Kaijie He +4 more
semanticscholar +1 more source
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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Joint Estimation and Localization in Sensor Networks [PDF]
, 2014 This paper addresses the problem of collaborative tracking of dynamic targets in wireless sensor networks. A novel distributed linear estimator, which is a version of a distributed Kalman filter, is derived.
Atanasov, Nikolay +4 more
core +4 more sources