Modeling human visual perception for target detection in military simulations

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Authors
Jungkunz, Patrick
Subjects
Human Visual Perception
Visual Attention
Eye Movements
Eye Tracking
Human Behavior Modeling
Target Detection
Visual Search
Semantic Relevance
Relevance Map
Advisors
Darken, Christian J.
Date of Issue
2009-06
Date
June 2009
Publisher
Monterey, California. Naval Postgraduate School
Language
Abstract
The search and target acquisition models used in current military simulations for visual detection of ground soldiers are empirical. Although taking into account human performance data collected in field trials, they do not attempt to realistically model human search behavior. This, however, is necessary to achieve realistic target detection performance, including such phenomena as false positive detections at realistic locations. Working towards this goal, this research creates a model of human visual perception for the search of a human target. The contributions of bottom-up and top-down information on human visual perception are examined in a visual search experiment, which includes eye movement recording of the participants. The results show that semantically relevant scene information is used to guide the search process, influencing eye movements. Consequently, a predictive model of eye fixations is created which takes semantically relevant scene locations into account. These meaningful locations are extracted from ground truth simulation data and fused into a relevancy map. The relevance map is compared with eye fixations of participants searching for human targets in realistic scenes. This comparison shows that the relevance map predicts fixation locations very well. A combination of the relevance map with a salience map achieves even better prediction of eye fixations.
Type
Thesis
Description
Series/Report No
Department
Computer Science
Modeling, Virtual Environments and Simulation (MOVES)
Organization
Naval Postgraduate School
Identifiers
NPS Report Number
Sponsors
Funder
Format
xviii,152 p. : ill. (some col.)
28 cm.
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
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