Results 1 to 10 of about 7,845,678 (386)
From target tracking to targeting track: A data-driven yet analytical approach to joint target detection and tracking [PDF]
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
openaire +3 more sources
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
doaj +2 more sources
Robust Cubature Kalman Filter for Moving-Target Tracking with Missing Measurements. [PDF]
Sensors (Basel)Sahl S, Song E, Niu D.
europepmc +3 more sources
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
doaj +1 more source
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
doaj +1 more source
IEEE Access, 2023 Due to their distinctive features, unmanned aerial vehicles (UAVs) have been recently exploited to support a wide range of applications. The features include low maintenance cost, compact size, and excellent capability of maneuvering. In particular, UAVs
Mohannad Alhafnawi +6 more
semanticscholar +1 more source
Multi-Agent Reinforcement Learning Aided Intelligent UAV Swarm for Target Tracking
IEEE Transactions on Vehicular Technology, 2022 Past few years have witnessed the widespread adoption of unmanned aerial vehicles (UAVs) in target tracking for regional monitor and strike. Most existing target tracking approaches rely on the target motion frames obtained by the camera equipped, or on ...
Zhaoyue Xia +6 more
semanticscholar +1 more source
IEEE Transactions on Aerospace and Electronic Systems, 2022 In this article, a joint transmit resource management and waveform selection (JTRMWS) strategy is put forward for target tracking in distributed phased array radar network.
C. Shi +4 more
semanticscholar +1 more source
MOTChallenge: A Benchmark for Single-Camera Multiple Target Tracking [PDF]
International Journal of Computer Vision, 2020 Standardized benchmarks have been crucial in pushing the performance of computer vision algorithms, especially since the advent of deep learning.
Patrick Dendorfer +7 more
semanticscholar +1 more source
Offloading Optimization in Edge Computing for Deep-Learning-Enabled Target Tracking by Internet of UAVs [PDF]
IEEE Internet of Things Journal, 2020 The empowering unmanned aerial vehicles (UAVs) have been extensively used in providing intelligence such as target tracking. In our field experiments, a pretrained convolutional neural network (CNN) is deployed at UAV to identify a target (a vehicle ...
Bofu Yang +3 more
semanticscholar +1 more source