The ability to detect gun and gun held in hand or other body parts is a typical human skill. The same problem presents an imperative task for computer vision system. Automatic observer independent detection of hand held gun or gun held in the other body part, whether it is visible or concealed, provides enhance security in vulnerable places and initiates appropriate action there. Compare to the automatic object detection systems, automatic detection of gun has very few successful attempts. In the present scope of this paper, we present an extensive survey on automatic detection of gun and define a taxonomy for this particular detection system. We also describe the inherent difficulties related with this problem. In this survey of published papers, we examine different approaches used in state-of-the-art attempts and compare performances of these approaches. Finally, this paper concludes pointing to the possible research gaps in related fields.

检测手枪和手持枪支或其他身体部位的能力是一种典型的人类技能。相同的问题提出了计算机视觉系统的当务之急。观察者自动独立检测手持枪支或握持在其他身体部位的枪支，无论它是可见的还是隐藏的，都可以增强脆弱位置的安全性，并在该位置启动适当的操作。与自动物体检测系统相比，自动检测枪的成功尝试很少。在本文的当前范围内，我们对枪支的自动检测进行了广泛的调查，并为该特定的检测系统定义了分类法。我们还描述了与此问题相关的内在困难。在对已发表论文的调查中，我们研究了最新尝试中使用的不同方法，并比较了这些方法的性能。最后，本文总结指出了相关领域中可能存在的研究空白。