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Proceedings Paper

Detecting necessary and sufficient parts for assembling a functional weapon
Author(s): Christian F. Hempelmann; Divya Solomon; Abdullah N. Arslan; Salvatore Attardo; Grady P. Blount; Tracy Adkins; Nikolay M. Sirakov
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Paper Abstract

Continuing our previous research to visually extract and visually and conceptually match weapons, this study develops a method to determine whether a set of weapon parts visually extracted from images taken from different scenes can be assembled as a firing weapon. This new approach identifies potential weapons in the ontology via tracing detected necessary and sufficient parts through their meronymic relation to the whole weapon. A fast algorithm for identifying potential weapons that can be assembled from a given set of detected parts is presented.

Paper Details

Date Published: 1 May 2017
PDF: 9 pages
Proc. SPIE 10202, Automatic Target Recognition XXVII, 102020R (1 May 2017); doi: 10.1117/12.2268808
Show Author Affiliations
Christian F. Hempelmann, Texas A&M Univ.-Commerce (United States)
Divya Solomon, Texas A&M Univ.-Commerce (United States)
Abdullah N. Arslan, Texas A&M Univ.-Commerce (United States)
Salvatore Attardo, Texas A&M Univ.-Commerce (United States)
Grady P. Blount, Texas A&M Univ.-Commerce (United States)
Tracy Adkins, Texas A&M Univ.-Commerce (United States)
Gotta Have Guns, Blunderbuss Enterprises, Inc. (United States)
Nikolay M. Sirakov, Texas A&M Univ.-Commerce (United States)

Published in SPIE Proceedings Vol. 10202:
Automatic Target Recognition XXVII
Firooz A. Sadjadi; Abhijit Mahalanobis, Editor(s)

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