Paper
10 June 2013 From shape to threat: exploiting the convergence between visual and conceptual organization for weapon identification and threat assessment
Abdullah N. Arslan, Christian F. Hempelmann, Carlo Di Ferrante, Salvatore Attardo, Nikolay Metodiev Sirakov
Author Affiliations +
Abstract
The present work is a part of a larger project on recognizing and identifying weapons from a single image and assessing threats in public places. Methods of populating the weapon ontology have been shown. A clustering-based approach of constructing visual hierarchies on the base of extracted geometric features of weapons has been proposed. The convergence of a sequence of visual hierarchy trees to a conceptual hierarchy tree has been discussed. For illustrative purposes, from the growing conceptual ontology, a conceptual hierarchy tree has been chosen as a point of convergence for a sequence of visual hierarchy trees. A new approach is defined, on the base of the Gonzalez' algorithm, to generate the visual hierarchies. The closest visual hierarchy tree is selected as the search environment for a query weapon. A method of threat assessment is proposed. This method uses the attribute-rich conceptual hierarchy tree to evaluate the results from the visual hierarchy tree search. The two trees are linked at the leaf-level, because the visual hierarchy closest to the conceptual has the same distribution of the leaf nodes. A set of experimental results are reported to validate the theoretical concepts. A portion of the existing weapon ontology is used for this purpose.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Abdullah N. Arslan, Christian F. Hempelmann, Carlo Di Ferrante, Salvatore Attardo, and Nikolay Metodiev Sirakov "From shape to threat: exploiting the convergence between visual and conceptual organization for weapon identification and threat assessment", Proc. SPIE 8744, Automatic Target Recognition XXIII, 87440P (10 June 2013); https://doi.org/10.1117/12.2015591
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Cited by 4 scholarly publications.
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KEYWORDS
Weapons

Visualization

Firearms

Databases

Technetium

Algorithm development

Feature extraction

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