Results 21 to 30 of about 289,781 (144)

Multi-UAVs Communication-Aware Cooperative Target Tracking

Applied Sciences, 2018
A kind of communication-aware cooperative target tracking algorithm is proposed, which is based on information consensus under multi-Unmanned Aerial Vehicles (UAVs) communication noise.
Xiaowei Fu, Kunpeng Liu, Xiaoguang Gao
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STAR: Spatial and Temporal Context-Aware Network for Resident Space Object Detection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Most resident space object (RSO) detection methods are designed based on the observation mode of the telescope, focusing the core of RSO detection on point-like or streak-like object detection.
Bowen Gan, Wei Liang, Zhaodong Niu
doaj   +1 more source

Computer-Vision-Based Vibration Tracking Using a Digital Camera: A Sparse-Optical-Flow-Based Target Tracking Method

Sensors, 2022
Computer-vision-based target tracking is a technology applied to a wide range of research areas, including structural vibration monitoring. However, current target tracking methods suffer from noise in digital image processing.
Guang-Yu Nie, Saran Srikanth Bodda, Harleen Kaur Sandhu, Kevin Han, Abhinav Gupta   +4 more
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Multiperson Target Dynamic Tracking Method for Athlete Training Based on Wireless Body Area Network

Advances in Mathematical Physics, 2021
Aiming at the problems of large tracking error and long tracking time in traditional multiperson target dynamic tracking methods, a new method based on wireless body area network for athlete training multiperson target dynamic tracking is proposed. First,
Diandian Du
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Multi-Feature Single Target Robust Tracking Fused with Particle Filter

Sensors, 2022
Aiming at the problems of target model drift or loss of target tracking caused by serious deformation, occlusion, fast motion, and out of view of the target in long-term moving target tracking in complex scenes, this paper presents a robust multi-feature
Caihong Liu, Mayire Ibrayim, Askar Hamdulla   +2 more
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Sea-Surface Target Visual Tracking with a Multi-Camera Cooperation Approach

Sensors, 2022
Cameras are widely used in the detection and tracking of moving targets. Compared to target visual tracking using a single camera, cooperative tracking based on multiple cameras has advantages including wider visual field, higher tracking reliability ...
Jinjun Rao, Kai Xu, Jinbo Chen, Jingtao Lei, Zhen Zhang, Qiuyu Zhang, Wojciech Giernacki, Mei Liu   +7 more
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Comprehensive survey on target tracking based on Siamese network

Journal of Hebei University of Science and Technology, 2022
In recent years,the target tracking algorithm based on Siamese network has attracted much attention because it can achieve a good balance between tracking accuracy and tracking efficiency.Through the intensive study of the literature of target tracking ...
Ming HAN, Jingqin WANG, Jingtao WANG, Junying MENG, Jiaomin LIU   +4 more
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Fishing out AIEC with FimH capturing microgels for inflammatory bowel disease treatment

Nature Communications
Inflammatory bowel disease (IBD) is a chronic immune-mediated condition with rising global incidence and limited treatment options. Current therapies often have poor efficacy and undesirable side effects. Here we present a drug-free strategy that targets
Jialin Wu, Yutao Liu, Ruiying Liu, Changyi Xiao, Leyan Xuan, Lili Wu, Jiamin Qian, Xudong Qin, Yingying Hou, Maobin Xie, Xiyong Yu, Bin Liu, Guosheng Tang   +12 more
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ASMT: An augmented state-based multi-target tracking algorithm in wireless sensor networks

International Journal of Distributed Sensor Networks, 2017
Due to the resource limitation and low performance of sensor node, research works of multi-target tracking became a hot spot in the applications of wireless sensor networks.
Kejiang Xiao, Rui Wang, Lei Zhang, Jian Li, Tun Fun   +4 more
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Infrared Small Target Tracking Based on OSTrack Model

IEEE Access, 2023
Infrared small target tracking plays an important role in military reconnaissance, early warning, video surveillance, and civil applications. For tracking small infrared targets in this paper, a one-stream deep learning model is utilized.
Jianhua Shan, Yu Yang, Heng Liu, Tao Liu
doaj   +1 more source