Can CCTV Reliably Detect Gun Crime?

Can CCTV Reliably Detect Gun Crime?
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闭路电视能否可靠地侦查枪支犯罪?

DOI:
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发表时间:
2007
期刊:
Annual IEEE International Carnahan Conference on Security Technology
影响因子:
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通讯作者:
A. Blechko
A. Blechko
中科院分区:
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文献类型:
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作者:
I. Darker;A. Gale;L. Ward;A. Blechko

文献摘要

被引文献

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近年来,英格兰和威尔士的枪支犯罪率达到了最高水平。众所周知,枪支犯罪发生在英国城市中常见的闭路电视摄像机网络监控的环境中。因此,闭路电视有潜力侦查枪支犯罪。然而,闭路电视操作员面临着一项几乎不可能完成的任务:通常,每个操作员都需要长时间监控多个摄像机。因此,发现闭路电视在减少枪支犯罪方面收效甚微也就不足为奇了。英国正在开展一项新的合作研究计划(MEDUSA),该计划将开发一款软件应用程序,帮助闭路电视操作员检测枪支犯罪的前兆。 MEDUSA 的目标是通过闭路电视自动检测枪支物体(隐藏或其他方式)和意图实施枪支犯罪的人。该系统部分基于引出熟练的闭路电视操作员识别为表明隐藏武器或与枪支犯罪相关的可疑行为的特征。对几个闭路电视中心检查这些技能的初步研究表明,在检测恶意行为方面几乎没有正式的指导。许多技能是通过长期检查闭路电视图像的经验积累起来的。因此,检测技能可能存在广泛的个性化。此外,针对枪支犯罪的视觉线索也很有限。然而,目前的方法依赖于直接报告。有人认为,一系列有意识和无意识检测到的线索可以促进通过闭路电视检测枪支。未来的研究将检验这种可能性。
In recent years the highest levels of gun crime in England and Wales have been recorded. Gun crime is known to occur in environments that fall under the view of the networks of CCTV cameras which are endemic in urban Britain. Consequently, CCTV has the potential to detect gun crime. However, CCTV operators face a near impossible task: often, each individual operator is required to monitor multiple cameras for extended time periods. It is not surprising then to find that CCTV has had little effect at reducing gun crime. A new collaborative research programme (MEDUSA) is underway across the UK which will develop a software application to aid CCTV operators detect the precursors of gun crime. MEDUSA aims automatically to detect both guns as objects (concealed or otherwise) and people who intend to commit gun crime, via CCTV. The system is partly based on eliciting the features that skilled CCTV operators identify as indicative of a concealed weapon or suspicious behaviour related to gun crime. Initial studies into the examination of these skills across several CCTV centres indicate that there was little formal instruction in the detection of mal-intent. Much skill is built up from prolonged experience in examining CCTV imagery. Thus, potentially, there is widespread individualisation of detection skills. Further, visual cues specific to gun crime were limited. However, the present methodology relied upon direct report. It is argued that a range of both consciously and subconsciously detected cues could facilitate gun detection via CCTV. Future studies will examine this possibility.