Results 41 to 50 of about 183,753 (306)

Multiple object tracking using particle filters [PDF]

, 2006
The particle filtering technique with multiple cues such as colour, texture and edges as observation features is a powerful technique for tracking deformable objects in image sequences with complex backgrounds.
N. Canagarajah, D. Bull, Canagarajah, N., M. Jaward, Jaward, M., Canagarajah, CN, Bull, D., Mihaylova, LS, L. Mihaylova, Mihaylova, L., Jaward, MH, Bull, DR   +11 more
core   +1 more source

A Dynamic and Adaptive Selection Radar Tracking Method Based on Information Entropy

Leida xuebao, 2017
Nowadays, the battlefield environment has become much more complex and variable. This paper presents a quantitative method and lower bound for the amount of target information acquired from multiple radar observations to adaptively and dynamically ...
Ge Jianjun, Li Chunxia
doaj   +1 more source

Diffusion Models for Multi-target Adversarial Tracking

2023 International Symposium on Multi-Robot and Multi-Agent Systems (MRS), 2023
Target tracking plays a crucial role in real-world scenarios, particularly in drug-trafficking interdiction, where the knowledge of an adversarial target's location is often limited. Improving autonomous tracking systems will enable unmanned aerial, surface, and underwater vehicles to better assist in interdicting smugglers that use manned surface ...
Sean Ye, Manisha Natarajan, Zixuan Wu, Matthew C. Gombolay   +3 more
openaire   +2 more sources

A GM-JMNS-CPHD Filter for Different-Fields-of-View Stochastic Outlier Selection for Nonlinear Motion Tracking

Sensors
Most multi-target movements are nonlinear in the process of movement. The common multi-target tracking filtering methods directly act on the multi-target tracking system of nonlinear targets, and the fusion effect is worse under the influence of ...
Liu Wang, Jian Zhao, Lijuan Shi, Yuan Liu, Jing Zhang   +4 more
doaj   +1 more source

Adaptive Tracking of High-Maneuvering Targets Based on Multi-Feature Fusion Trajectory Clustering: LPI’s Purpose

Sensors, 2022
Since the passive sensor has the property that it does not radiate signals, the use of passive sensors for target tracking is beneficial to improve the low probability of intercept (LPI) performance of the combat platform.
Lei Wei, Jun Chen, Yi Ding, Fei Wang, Jianjiang Zhou   +4 more
doaj   +1 more source

Radar pulse interleaving for multi‐target tracking [PDF]

Naval Research Logistics (NRL), 2003
AbstractIn a multifunction radar, the maximum number of targets that can be managed or tracked is an important performance measure. Interleaving algorithms developed to operate radars exploit the dead‐times between the transmitted and the received pulses to allocate new tracking tasks that might involve transmitting or receiving pulses, thus increasing
Elshafei, M., Smith, J.C., Sherali, H.D.
openaire   +2 more sources

Design and analysis strategies for robust microbiome ageing research

FEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik, İsmail Güderer, Yi Wang, Tayyaba Alvi, Prasoon Pandey, Handan Melike Dönertaş   +5 more
wiley   +1 more source

Underwater Multi-Target Tracking with Particle Filters [PDF]

2018 OCEANS - MTS/IEEE Kobe Techno-Oceans (OTO), 2018
© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component
Masmitjà Rusiñol, Ivan, Gomáriz Castro, Spartacus, Río Fernández, Joaquín del, Bouvet, Pierre-Jean, Aguzzi, Jacopo   +4 more
openaire   +3 more sources

EDNRB‐dependent endothelin signaling reduces proliferation and promotes proneural‐to‐mesenchymal transition in gliomas

Molecular Oncology, EarlyView.
Glioma cells mainly express the endothelin receptor EDNRB, while EDNRA is restricted to a perivascular tumor subpopulation. Endothelin signaling reduces glioma cell proliferation while promoting migration and a proneural‐to‐mesenchymal transition associated with poor prognosis. This pathway activates Ca2+, K+, ERK, and STAT3 signalings and is regulated
Donovan Pineau, Leonor Garcia, Hugo Arnold, Antonija Hanžek, Maialen Arrieta, Laurent R Gauthier, Christine Granotier‐Beckers, François D Boussin, Amaury Herbet, Marie Hautière, Valentin Asei‐Ceschino, Clémentin Jacques, Laura Brard, Thomas Harnois, Valérie Coronas, Bruno Constantin, Aurélien Chatelier, Jean Chemin, Serge Urbach, Martial Seveno, Szimonetta Hideg, Chantal Ripoll, Kasandra Aguilar‐Cázarez, Min Zheng, Guo‐Hao Huang, Sheng‐Qing Lv, Lei Zhang, Philippe Rondard, Laurent Prezeau, Jean‐Philippe Pin, Hugues Duffau, Luc Bauchet, Valérie Rigau, Franck Denat, Charles Truillet, Didier Boquet, Jean‐Philippe Hugnot   +36 more
wiley   +1 more source

Joint Power and Bandwidth Allocation with RCS Fluctuation Characteristic for Space Target Tracking

Remote Sensing, 2023
Reasonable allocation of space-based radar resources is a crucial aspect of improving the accuracy of space multi-target tracking and enhancing spatial awareness.
Qingwei Yang, Libing Jiang, Shuyu Zheng, Yingjian Zhao, Zhuang Wang   +4 more
doaj   +1 more source