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出 处:《刑事技术》2015年第3期218-221,共4页Forensic Science and Technology
基 金:重庆市公安局科技攻关计划项目(No.G2013-01)
摘 要:视频侦查以提取到的与案件有关的视频为研究对象,分析视频中的人、事、物获得相关侦查线索。视频画面由多帧图像组合而成,直观性和动态连续性是视频非常显著的特点。视频反映出的信息不仅包括静态信息,也包括了各种动态信息。人像分析检验是视频侦查的重要组成部分,以动态形式显现的人像不仅能提供人像的静态特征信息,也能提供人像的动态特征信息。本文阐述了视频中人像分析检验的重点内容,即人像的静态特征和动态特征的分析和检验。在视频条件比较好的情况下,相貌、体态等人像的静态特征是人像分析检验的重点。但是对质量差、难以提取嫌疑人清晰相貌特征的视频,仅依靠分析视频中人像的静态特征无法得到更多的信息,这就需要结合人像的步态、体态等动态特征分析来获得更多有价值的信息。本文结合实际案例分析,阐明了人像特征分析检验过程是人像静态、动态等特征的综合分析过程,人像动态特征和静态特征相互关联,共同构建成人像比对基础,为视频侦查中人像的比对、认定以及案件的串并提供线索和依据。本文提出了视频人像检验的规范化流程,将有助于视频中人像特征分析检验过程的规范化和程序化,提高分析检验效率,为案件的侦破提供强有力的保障。Video investigation focuses on the videos involved in criminal cases and the relevant clues could be obtained through analyzing the persons and objects in videos. A video is composed of multi frame images, and characterized by intuitiveness and dynamic continuity. As the video provides both the static and dynamic human feature, some important characteristics can be extracted from the video, which are favorable for criminal investigation. In this paper, it is expounded that the main content of video image analysis and inspection of a human is to extract and analyze the static and dynamic characteristics. With video of high quality, the static characteristics such as the appearance and posture become the key points of video image analysis and inspection. In reality, the surveillance video is often apt to be inlfuenced by various factors, such as lamplight, bad weather, distance, image distortion. The videos recorded by the monitoring system often tend to be blurring and it is dififcult to extract the suspect’s facial features from those poor quality videos. Therefore, it is unlikely to get enough information if only relying on the static characteristics. However, movement and gait of the suspect could be totally recorded by surveillance video, which are less susceptible to the external environment. It is advantageous to combine human static and dynamic characteristics in videos to obtain more valuable information. An actual case determination indicates that both the static and dynamic characteristics could be closely interrelated, hence provides new clues for the criminal investigation and new methods for portrait comparison, suspect identiifcation as well as case linkage. At the same time, this paper proposes a standard inspection procedure of human characteristics in surveillance video, which promotes the standardization and routinization of video inspection and greatly enhance the efifciency of the analysis and inspection.
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