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Identification of Partially Occluded Firearms Through Partonomy

机译：通过区划识别部分被遮挡的枪支

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摘要

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.
机译：在本文中，我们从武器被部分遮挡的单个图像研究武器识别和威胁评估的问题。这个问题提出了非常严格的限制。为了成功地从其零件中识别出武器，我们使用第一代人称（分词）原理扩展了第一个枪支本体，这使我们能够区分枪支的各个部分（例如锁，枪管，枪托，瞄准镜）。添加多义信息类别可提供元数据（威胁评估所必需），并允许快速准确的搜索。搜索武器在概念上被视为搜索其各个部分的总和。不断扩展的主动轮廓和形态学技术被用于划分武器，提取边界以及最小的内切复杂多边形。从提取的几何特征中生成有限的数字序列，并将其用于标记单基因组学节点并执行快速而准确的搜索。该论文报告了武器分区和搜索的实验结果。

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  • 来源
    《Automatic Target Recognition XXV》|2015年|94760U.1-94760U.11|共11页
  • 会议地点 Baltimore MD(US)
  • 作者

    Abdullah N. Arslan; Christian F. Hempelmann; Salvatore Attardo; Grady Price Blount; Nona N. Sirakova; Nikolay Metodiev Sirakov;

  • 作者单位

    Ontological Semantic Technology Lab, Texas A M University - Commerce, TX 75428, USA,Department of Computer Science and Information Systems, Texas A M University - Commerce, TX 75428, USA;

    Ontological Semantic Technology Lab, Texas A M University - Commerce, TX 75428, USA,Department of Literature and Languages, Texas A M University - Commerce, TX 75428, USA;

    Ontological Semantic Technology Lab, Texas A M University - Commerce, TX 75428, USA,College of Humanities, Social Sciences, and Arts, Texas A M University - Commerce, TX 75428, USA;

    Ontological Semantic Technology Lab, Texas A M University - Commerce, TX 75428, USA,Department of Physics and Astronomy, Texas A M University - Commerce, TX 75428, USA;

    4850 156th Ave NE, Apt 220, Redmond, WA 98052, USA;

    Ontological Semantic Technology Lab, Texas A M University - Commerce, TX 75428, USA,Department of Computer Science and Information Systems, Texas A M University - Commerce, TX 75428, USA,Department of Mathematics, Texas A M University - Commerce, TX 75428, USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    features extraction; weapon ontology; visual/conceptual hierarchy; weapon identification; threat assessment;

    机译：特征提取；武器本体；视觉/概念层次；武器识别；威胁评估;

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