scholarly journals Simulating multiple object tracking performance using a Kalman filter model

2015 ◽  
Vol 15 (12) ◽  
pp. 465
Author(s):  
Gregory Zelinsky ◽  
Ashley Sherman ◽  
Tomás Yago
Keyword(s):  
Kalman Filter ◽  
Object Tracking ◽  
Multiple Object Tracking ◽  
Tracking Performance ◽  
Filter Model ◽  
Multiple Object

scholarly journals What is the marginal advantage of extrapolation during multiple object tracking? Insights from a Kalman filter model

2013 ◽  
Vol 13 (9) ◽  
pp. 944-944
Author(s):  
J. Flombaum ◽  
S.-h. Zhong ◽  
Z. Ma ◽  
C. Wilson ◽  
Y. Liu
Keyword(s):  
Kalman Filter ◽  
Object Tracking ◽  
Multiple Object Tracking ◽  
Filter Model ◽  
Multiple Object

Multiple-Object Tracking

2011 ◽  
Vol 58 (3) ◽  
pp. 196-200 ◽  
Author(s):  
K. Botterill ◽  
R. Allen ◽  
P. McGeorge
Keyword(s):  
Object Tracking ◽  
Cognitive Processes ◽  
Spatial Location ◽  
Multiple Object Tracking ◽  
Tracking Performance ◽  
Multiple Object

The Multiple-Object Tracking paradigm has most commonly been utilized to investigate how subsets of targets can be tracked from among a set of identical objects. Recently, this research has been extended to examine the function of featural information when tracking is of objects that can be individuated. We report on a study whose findings suggest that, while participants can only hold featural information for roughly two targets this task does not affect tracking performance detrimentally and points to a discontinuity between the cognitive processes that subserve spatial location and featural information.

scholarly journals Kalman filter models of multiple-object tracking within an attentional window

2014 ◽  
Vol 14 (10) ◽  
pp. 706-706
Author(s):  
S.-h. Zhong ◽  
Z. Ma ◽  
C. Wilson ◽  
J. Flombaum
Keyword(s):  
Kalman Filter ◽  
Object Tracking ◽  
Multiple Object Tracking ◽  
Multiple Object ◽  
Attentional Window

scholarly journals Action Video Game Experience Does Not Predict Multiple Object Tracking Performance

2014 ◽  
Vol 14 (10) ◽  
pp. 353-353 ◽  
Author(s):  
C. Stothart ◽  
W. Boot ◽  
D. Simons ◽  
A. Beyko
Keyword(s):  
Object Tracking ◽  
Video Game ◽  
Multiple Object Tracking ◽  
Tracking Performance ◽  
Action Video Game ◽  
Multiple Object

scholarly journals Gamma coherence mediates interhemispheric integration during multiple object tracking

2020 ◽  
Vol 123 (5) ◽  
pp. 1630-1644
Author(s):  
Nicholas S. Bland ◽  
Jason B. Mattingley ◽  
Martin V. Sale
Keyword(s):  
Individual Differences ◽  
Object Tracking ◽  
Objective Measure ◽  
Multiple Object Tracking ◽  
Tracking Performance ◽  
Eeg Coherence ◽  
Multiple Object ◽  
Predicting Performance ◽  
Trial Basis ◽  
Gamma Coherence

Using a multiple object tracking paradigm, we were able to manipulate the need for interhemispheric integration on a per-trial basis, while also having an objective measure of integration efficacy (i.e., tracking performance). We show that tracking performance reflects a cost of integration, which correlates with individual differences in interhemispheric EEG coherence. Gamma coherence appears to uniquely benefit between-hemifield tracking, predicting performance both across participants and across trials.

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