Results 91 to 100 of about 1,160,563 (325)

Multisensor Poisson Multi-Bernoulli Filter for Joint Target-Sensor State Tracking

, 2019
In a typical multitarget tracking (MTT) scenario, the sensor state is either assumed known, or tracking is performed in the sensor's (relative) coordinate frame.
Fröhle, Markus, Granström, Karl, Lindberg, Christopher, Wymeersch, Henk   +3 more
core   +1 more source

Adaptive Sensor Scheduling and Resource Allocation in Netted Collocated MIMO Radar System for Multi-Target Tracking

IEEE Access, 2020
In this paper, an effective solution for adaptive sensor scheduling integrated with power and bandwidth allocation is developed for centralized multiple target tracking (MTT) in the netted collocated multiple-input multiple-output (C-MIMO) radar system ...
Zhengjie Li, Jun-wei Xie, Haowei Zhang, Houhong Xiang, Zhaojian Zhang   +4 more
semanticscholar   +1 more source

The McCance Brain Care Score and Mortality: Evidence From a Large‐Scale Population‐Based Cohort

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives This study aimed to examine the relationship between the McCance Brain Care Score (BCS) and mortality in the general population. Methods We conducted a prospective, population‐based cohort study using data from the UK Biobank. Participants with complete data enabling calculation of BCS and full mortality information were included ...
Zhiqiang Xu, Xiaoxiao Wang, Nan Li
wiley   +1 more source

Adaptive Target Birth Intensity Multi-Bernoulli Filter with Noise-Based Threshold

Sensors, 2019
Adaptively modeling the target birth intensity while maintaining the filtering efficiency is a challenging issue in multi-target tracking (MTT). Generally, the target birth probability is predefined as a constant and only the target birth density is ...
Xiaolong Hu, Hongbing Ji, Long Liu
doaj   +1 more source

AN ADAPTIVE MULTI-TARGET TRACKING ESTIMATOR [PDF]

International Conference on Aerospace Sciences and Aviation Technology, 2001
ABSTRACTTarget tracking problem is normally composed of three main major functions: automatic track initiation, correlation, and track update. target tracking algorithms are usually based on applying optimal filtering theory. There have been numerous derivations of the optimal relations between the tracking parameters. In this paper, track update based
Ragab M., El-Mahy K., Emara A., Aly M.
openaire   +2 more sources

Target Type Tracking with PCR5 and Dempster's rules: A Comparative Analysis

, 2006
In this paper we consider and analyze the behavior of two combinational rules for temporal (sequential) attribute data fusion for target type estimation. Our comparative analysis is based on Dempster's fusion rule proposed in Dempster-Shafer Theory (DST)
Dezert, Jean, Konstantinova, Pavlina, Smarandache, Florentin, Tchamova, Albena   +3 more
core   +3 more sources

Real-Time Clustering and Multi-Target Tracking Using Event-Based Sensors [PDF]

IEEE/RJS International Conference on Intelligent RObots and Systems, 2018
Clustering is crucial for many computer vision applications such as robust tracking, object detection and segmentation. This work presents a real-time clustering technique that takes advantage of the unique properties of event-based vision sensors. Since
Francisco Barranco, C. Fermüller, E. Ros   +2 more
semanticscholar   +1 more source

Association of Corticospinal Tract Asymmetry With Ambulatory Ability After Intracerebral Hemorrhage

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Ambulatory ability after intracerebral hemorrhage (ICH) is important to patients. We tested whether asymmetry between ipsi‐ and contra‐lesional corticospinal tracts (CSTs) assessed by diffusion tensor imaging (DTI) is associated with post‐ICH ambulation.
Yasmin N. Aziz, Carl D. Langefeld, Mary E. Comeau, Miranda C. Marion, Tyler P. Behymer, Lee A. Gilkerson, Padmini Sekar, Weihong Yuan, Vivek Khandwala, Brady J. Williamson, Thomas Maloney, Achala Vagal, Pierce Boyne, Kari Dunning, Matthew L. Flaherty, Steven J. Kittner, Prachi Mehndiratta, Gunjan Y. Parikh, Michael L. James, David Roh, Fernando D. Testai, Farhaan S. Vahidy, James Thornton, Ranjit Bagga, Daniel Woo, Stacie L. Demel   +25 more
wiley   +1 more source

Hospital Readmission After Traumatic Brain Injury Hospitalization in Community‐Dwelling Older Adults

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To examine the risk of hospital readmission after an index hospitalization for TBI in older adults. Methods Using data from the Atherosclerosis Risk in Communities (ARIC) study, we used propensity score matching of individuals with an index TBI‐related hospitalization to individuals with (1) non‐TBI hospitalizations (primary analysis)
Rachel Thomas, Connor A. Law, Joan A. Casey, Thomas Mosley, Rebecca F. Gottesman, Ramon Diaz‐Arrastia, Holly Elser, Andrea L. C. Schneider   +7 more
wiley   +1 more source

Using Bayesian Programming for Multisensor Multi-Target Tracking in Automative Applications [PDF]

, 2002
A prerequisite to the design of future Advanced Driver Assistance Systems for cars is a sensing system providing all the information required for high-level driving assistance tasks.
Bessiere, P, Coue, C, Fraichard, T, Mazer, E   +3 more
core   +2 more sources