人脸识别在闭路电视系统

Jinu Celine, S. A
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引用次数: 5

摘要

随着技术发展到顶峰,人类对其应用高度依赖。闭路电视是人类的一项技术发明,它在很大程度上保证了企业和办公场所的安全。尽管闭路电视系统在观测方面非常有用,但它也有一些要求。在像银行内发生的抢劫这样的情况下,法医分析可以通过闭路电视系统本身的录像来完成。影响识别过程的参数有很多,如相机质量、物体到相机的距离测量、相机的角度等。面部识别技术包括两个阶段。在第一阶段,我们收集受试者的不同面孔形成数据库。第二阶段从CCTV证据片段中提取目标人脸,并对其进行图像增强处理,生成高质量的输出图像,用于与数据库图像进行比对。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Face Recognition in CCTV Systems
As the technology developed in its peak, human beings highly dependable on its applications. Closed-Circuit Television (CCTV) is one of such technological invention of human which assures the security of the firms and offices in a great extent. Even though CCTV systems are highly useful for the observational purposes, it also possess some requirements. In a circumstantial such as a robbery happened inside a bank the forensic analysis can be done through the footage from the CCTV systems itself. The parameters which influences the identification process are lot such as the camera quality, distance measurements from object to camera, the angle of the camera etc. Here two phases are including in the facial recognition technique. In the first phase we collect different faces of subjects to form the database. In the second phase we extract target face from the CCTV evidence footage and it undergoes image enhancement process to create a good quality output images for the comparison process with the database images.
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