Results 1 to 10 of about 7,438,644 (406)
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
An Improved Q-Learning-Based Sensor-Scheduling Algorithm for Multi-Target Tracking [PDF]
Sensors, 2022 Target tracking is an essential issue in wireless sensor networks (WSNs). Compared with single-target tracking, how to guarantee the performance of multi-target tracking is more challenging because the system needs to balance the tracking resource for ...
Zhiyi Qu +5 more
doaj +2 more sources
Near-Online Multi-target Tracking with Aggregated Local Flow Descriptor [PDF]
IEEE International Conference on Computer Vision, 2015 In this paper, we focus on the two key aspects of multiple target tracking problem: 1) designing an accurate affinity measure to associate detections and 2) implementing an efficient and accurate (near) online multiple target tracking algorithm.
Choi, Wongun
core +2 more sources
Remote Sensing Target Tracking Method Based on Super-Resolution Reconstruction and Hybrid Networks [PDF]
Journal of ImagingRemote sensing images have the characteristics of high complexity, being easily distorted, and having large-scale variations. Moreover, the motion of remote sensing targets usually has nonlinear features, and existing target tracking methods based on ...
Hongqing Wan +3 more
doaj +2 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
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
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
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
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