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监狱是关押和改造犯罪人员的场所,对在押犯人行为的监控是保障监狱安全必不可少的管理手段。我国各地的监狱一般都建立了模拟闭路电视监控系统来监控犯人的行为。由于模拟闭路电视监控系统的录像只能简单的记录下场景信息,并不能够对视频进行实时的分析。由此可见,发现突发事件只能依靠值班狱警的注意力,除此之外,如果物体移动速度较快且光线不够充足,单纯的依靠人眼的判断无法准确迅速的判断出移动物体的身份。本文依赖于图像处理领域的对象识别技术来捕获对象信息,并且根据提取的特征来判断对象身份。文中提出的利用智能化的图像视频分析技术来解决视频监控的问题的方法,对监狱安全有着比较大的现实意义。
Prisons are the places where prisoners are detained and remodeled. The monitoring of prisoners in custody is an indispensable management measure to ensure the safety of prisons. Prisons throughout our country have generally established analogue CCTV surveillance systems to monitor prisoners’ behavior. Because analog CCTV surveillance system can only record the scene information simply recorded, and can not be real-time video analysis. Thus, the discovery of emergencies can only rely on the attention of prison guard on duty, in addition, if the object moves faster and the light is not enough, simply rely on the human eye can not accurately determine the rapid determination of the identity of moving objects . This article relies on the object recognition technology in the field of image processing to capture the object information and judge the object identity according to the extracted features. The method proposed in this paper to solve the problem of video surveillance using intelligent image video analysis technology has great practical significance for the safety of prisons.