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Smart Video Surveillance system and alert with image capturing using android smart phones

机译:智能视频监控系统,并使用android智能手机捕获图像并发出警报

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摘要

Smart video surveillance, is the implementation of automatic video technologies to closely monitor various situations. Nowadays, Video Surveillance is integral to security of many locations such as banks, malls, shops, and even homes. The proposed Smart Video Surveillance system uses motion detection to detect the presence of any intruder(s) in the environment. The method used for motion detection is the Cauchy distribution model which compares the current frame in the continuous video sequence to the previous frame, which is taken as the reference frame. The idea is that, if the difference between the current frame and the reference frame exceeds a specific threshold function, a motion is detected and detected pixel is identified. A novel method which sends an alert to the user's Android smartphone via Google Cloud Messaging (GCM) is used. A motion is detected when this difference exceeds the threshold value and the corresponding image is captured and stored while the user is notified with a GCM alert along with a custom sound. This image can be viewed and saved by the authorized user on the Android Smartphone. The performance of the proposed method is found to be better than the other existing systems as it enables the user to take immediate action to stop the crime while it is in progress. The registered user can alert police authorities if required.
机译:智能视频监控,是实施自动视频技术,密切监控各种情况。如今,视频监控是对银行,商场,商店甚至住宅的许多地点的安全性的一体化。所提出的智能视频监控系统使用运动检测来检测环境中任何入侵者的存在。用于运动检测的方法是Cauchy分布模型,其将连续视频序列中的当前帧与前一帧进行比较,这被视为参考帧。想法是,如果当前帧和参考帧之间的差值超过特定阈值函数,则识别出检测和检测像素的运动。使用通过Google Cloud Messaging(GCM)向用户的Android智能手机发送警报的新方法。当该差异超过阈值时检测到运动,并且在使用GCM警报通知用户以及定制声音时捕获并存储相应的图像并存储相应的图像。可以由Android智能手机上的授权用户查看和保存此图像。发现所提出的方法的性能比其他现有系统更好,因为它使用户能够立即采取行动来阻止犯罪。如果需要,注册用户可以提醒警察当局。

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