A comprehensive survey on computer vision based concepts,methodologies, analysis and applications for automatic gun/knife detection |
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Affiliation: | 1. Department of Computer Science and Engineering, Tripura University (A Central University), Suryamaninagar, 799022 Agartala, India;2. Department of Computer Science and Engineering, Jadavpur University, Kolkata 700032, West Bengal, India;3. Department of Computer and System Sciences, Visva-Bharati University, Santiniketan 731235, West Bengal, India |
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Abstract: | 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. |
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Keywords: | Weapon detection Survey Security and surveillance Multiple object detection Visual and concealed |
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