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作 者:贾永生[1] JIA Yong-sheng
机构地区:[1]铁道警察学院图侦系
出 处:《江苏警官学院学报》2019年第4期64-71,共8页Journal of Jiangsu Police Institute
摘 要:在大量的监控视频信息中查找、发现可疑人员目标,既需要视频浓缩和视频结构化等技术支撑,也需要视频侦查人员根据经过筛查的视频人工研判可疑人员目标。监控视频中查找、判定涉案可疑人员目标的主要方法有:根据犯罪现场内部监控视频判断犯罪嫌疑人;根据犯罪现场环境及嫌疑人行为特点查找目标;利用技术类方法查找涉案人员目标;大数据关联查找法。视频侦查中对犯罪嫌疑人的查找、发现、判断和深层次信息挖掘,需要人工观看与系统快速检索相结合,并与大数据集成条件下的智能化侦查技术相融合发展。In order to find and discover suspicious targets in a large number of surveillance video information, we need not only the technical support of video concentrating and video structuring, but also the manual identification of suspicious targets by video investigators based on screened video. The main methods of finding and judging the target of suspects involved in a crime are as follows: judging the suspect according to the internal monitoring video of the crime scene;finding the target according to the environment of the crime scene and the characteristics of the suspect’s behavior;using technical methods to find the target of suspects;and big data association search. In video investigation, the search, discovery, judgment, and deep-seated information mining of criminal suspects require the combination of manual viewing and rapid system retrieval, and the integration of large data integration.
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