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首页> 外文期刊>Indian Journal of Science and Technology >An Automatic Motion Detection System for a Camera Surveillance Video
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An Automatic Motion Detection System for a Camera Surveillance Video

机译:摄像机监控视频自动运动检测系统

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Objective: To develop image-based alert system when trespassers intrude. Methods: Background subtraction is applied here so that we can detect the motion. In this method, we subtract the present frame from the previous frame which results in the movement or motion as the difference. Using Python as a platform, a frame window can be generated through which the principle can be applied. Findings: In modern era, surveillance is playing an optimum role and has been evolved as a need for industries, companies, shopping malls and even for homes which serves as a security purpose. This project deals with a conventional automatic surveillance system which can be applied without heavy complexity. By this facility, user can know the information even though he is located somewhere else. From the results obtained, one can observe even a small movement effectively from the captured area. Application/Improvement: The proposed model is feasible with minimum maintenance cost. Just Dropbox account which can be accessed from anywhere is enough. Mobile alert can be an alternative.
机译:目的:开发入侵者入侵时基于图像的预警系统。方法:这里应用背景减法,以便我们可以检测运动。在这种方法中,我们从前一帧中减去当前帧,从而导致运动或运动的差异。使用Python作为平台,可以生成框架窗口,通过该框架可以应用该原理。研究结果:在现代时代,监视起着最佳作用,并且已经发展成为对工业,公司,大型购物中心甚至是出于安全目的的房屋的需求。该项目涉及一种传统的自动监视系统,该系统无需复杂即可应用。通过此功能,即使用户位于其他位置,用户也可以知道该信息。从获得的结果中,人们甚至可以有效地从捕获区域观察到很小的运动。应用/改进:提出的模型可行,维护成本最低。只需可以从任何地方访问的Dropbox帐户就足够了。移动警报可以替代。

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