Document Detail

Modeling peripheral vision for moving target search and detection.
MedLine Citation:
PMID:  22764613     Owner:  NLM     Status:  In-Process    
INTRODUCTION: Most target search and detection models focus on foveal vision. In reality, peripheral vision plays a significant role, especially in detecting moving objects.
METHODS: There were 23 subjects who participated in experiments simulating target detection tasks in urban and rural environments while their gaze parameters were tracked. Button responses associated with foveal object and peripheral object (PO) detection and recognition were recorded. In an urban scenario, pedestrians appearing in the periphery holding guns were threats and pedestrians with empty hands were non-threats. In a rural scenario, non-U.S. unmanned aerial vehicles (UAVs) were considered threats and U.S. UAVs non-threats.
RESULTS: On average, subjects missed detecting 2.48 POs among 50 POs in the urban scenario and 5.39 POs in the rural scenario. Both saccade reaction time and button reaction time can be predicted by peripheral angle and entrance speed of POs. Fast moving objects were detected faster than slower objects and POs appearing at wider angles took longer to detect than those closer to the gaze center. A second-order mixed-effect model was applied to provide each subject's prediction model for peripheral target detection performance as a function of eccentricity angle and speed. About half the subjects used active search patterns while the other half used passive search patterns.
DISCUSSION: An interactive 3-D visualization tool was developed to provide a representation of macro-scale head and gaze movement in the search and target detection task. An experimentally validated stochastic model of peripheral vision in realistic target detection scenarios was developed.
Ji Hyun Yang; Jesse Huston; Michael Day; Imre Balogh
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Publication Detail:
Type:  Journal Article; Research Support, U.S. Gov't, Non-P.H.S.    
Journal Detail:
Title:  Aviation, space, and environmental medicine     Volume:  83     ISSN:  0095-6562     ISO Abbreviation:  Aviat Space Environ Med     Publication Date:  2012 Jun 
Date Detail:
Created Date:  2012-07-05     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7501714     Medline TA:  Aviat Space Environ Med     Country:  United States    
Other Details:
Languages:  eng     Pagination:  585-93     Citation Subset:  IM; S    
MOVES Institute, 700 Dyer Rd., Bldg. 245, Rm. 379, Naval Postgraduate School, Monterey, CA 93943, USA.
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