Paper
28 May 2015 Identification of partially occluded firearms through partonomy
Abdullah N. Arslan, Christian F. Hempelmann, Salvatore Attardo, Grady Price Blount, Nona N. Sirakova, Nikolay Metodiev Sirakov
Author Affiliations +
Abstract
In the present paper we study the problem of weapon identification and threat assessment from a single image with a partially occluded weapon. This problem poses very severe restrictions. To successfully identify a weapon from its parts we extend the first firearm ontology with the meronymic (partonomic) principle which lets us distinguish parts of a gun (e.g., lock, barrel, stock, scope). Adding classes of meronymic information provides meta-data (necessary for threat assessment) and allows for fast and accurate search. Searching for a weapon is treated conceptually as searching for the sum of its parts. An expanding active contour and morphological techniques are applied to partition weapons and extract boundaries, and a minimal inscribed complex polygon. Finite numerical sequences are generated, from the extracted geometric features, and are used to label partonomic nodes and perform quick and accurate search. The paper reports experimental results on weapons partitioning and search.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Abdullah N. Arslan, Christian F. Hempelmann, Salvatore Attardo, Grady Price Blount, Nona N. Sirakova, and Nikolay Metodiev Sirakov "Identification of partially occluded firearms through partonomy", Proc. SPIE 9476, Automatic Target Recognition XXV, 94760U (28 May 2015); https://doi.org/10.1117/12.2184102
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Cited by 5 scholarly publications.
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KEYWORDS
Weapons

Visualization

Firearms

Feature extraction

Bismuth

Receivers

Computer science

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