阳煤集团视频异常监控系统设计与实现

发布时间：2018-08-26 07:09

【摘要】：伴随着时代的发展,科技的进步一方面在给我们带来便利的同时,各种潜藏的或是已经显露出来的危机也与之俱来。目前,监控系统已经遍布各大银行,超市、小区地区,主要是人们对于犯罪行为防不胜防,然而,是不是有了监控就可以高枕无忧了呢,显而易见,答案是否定的,随着作案人员对技术的精进,对犯罪行为的界定要求更精确。为了保证集团安全性,异常监控变得到尤为重要,而且智能化的管理和监控将大大减少人力工作以及减少不必要的麻烦,基于这一要求,本文章试图推陈出新。视频内容中的异常场景监控技术是在不需要人为干预的情况下利用摄像头对场景取景并利用计算机对取景图像进行数据分析从而实现对静态场景中异常物体的发现。将视频场景异常监控技术进行发展并融入到正常的视频监控系统将会有效提高监控能力,降低不安全隐患,同时可以在一定程度上节省人力物力资源,节约投资。视频内容中的异常场景监控技术研究可以对现有的视频异常处理系统进行补充扩展,可作为基础环节放置于视频监控系统中,简化处理流程,提高处理效率。文章中主要讲了现存监控系统存在的一些问题,尝试基于这些问题对系统进行革新,先是讲述了系统开发中用到的技术和方法,然后介绍了系统中各个模块的主要功能,接下来是对已经做成系统进行检测,最后是分析,分子系统中存在的缺陷以及可以改进的地方。在对异常行为识别中,利用异常行为的特征,给出了人的异常行为判别准则。以此来判断在特定监控区域内目标是否存在异动、攀爬、遗留物体等异常情况,并发出报警。实验结果表明所给出的异常行为识别方法简单、快速、准确,取得了较好的识别效果。这一系统的研发,不仅仅是大大提高了相关工作人员的工作效率,将他们从繁重的工作中解放出来,更值得称赞的是,这一技术的研发,提高了监控系统的精确度和分辨率,能够有效的减少判断失误,从而避免了不必要的麻烦。
[Abstract]:Along with the development of the times, the progress of science and technology not only brings convenience to us, but also brings all kinds of latent or emerging crises. At present, the monitoring system has spread all over the major banks, supermarkets, residential areas, mainly because people are unable to guard against criminal acts. However, if there is monitoring, can we rest assured? obviously, the answer is no. With the technical refinement of the perpetrators, the definition of criminal behavior is more precise. In order to ensure group security, abnormal monitoring becomes particularly important, and intelligent management and monitoring will greatly reduce manpower work and unnecessary trouble. Based on this requirement, this paper tries to introduce new ideas. The technology of abnormal scene monitoring in video content is to use the camera to view the scene and the computer to analyze the data of the scene without human intervention to realize the discovery of the abnormal object in the static scene. The development of video scene abnormal monitoring technology and integration into the normal video surveillance system will effectively improve the monitoring ability, reduce the hidden dangers of insecurity, at the same time, can save human and material resources to a certain extent and save investment. The research of abnormal scene monitoring technology in video content can supplement and extend the existing video exception processing system and can be placed in the video monitoring system as the basic link to simplify the processing process and improve the processing efficiency. This paper mainly discusses some problems existing in the existing monitoring system, and attempts to innovate the system based on these problems. Firstly, it describes the technology and methods used in the system development, and then introduces the main functions of each module in the system. The next step is to examine the existing systems, and finally to analyze the defects in the molecular system and where improvements can be made. In the recognition of abnormal behavior, the discriminant criterion of human abnormal behavior is given by using the characteristics of abnormal behavior. In order to determine whether the target in a specific monitoring area, such as changes, climbing, residual objects and other abnormal conditions, and issued an alarm. The experimental results show that the proposed method is simple, fast and accurate. The research and development of this system has not only greatly improved the working efficiency of the relevant staff and freed them from the heavy work, but also, to our credit, the development of this technology has improved the accuracy and resolution of the monitoring system. Can effectively reduce judgment errors, thereby avoiding unnecessary trouble.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP391.41;TN948.6

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