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首页> 外文期刊>Journal of supercomputing >Application of wireless sensor network in dynamic linkage video surveillance system based on Kalman filtering algorithm
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Application of wireless sensor network in dynamic linkage video surveillance system based on Kalman filtering algorithm

机译：基于卡尔曼滤波算法的无线传感器网络在动态联动视频监控系统中的应用

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摘要

The purpose of this study was to investigate the shortcomings and deficiencies of video surveillance systems, thus presenting a new method for intelligent video surveillance. The specific hardware structure and software algorithm design are adopted. And the performance of the algorithm is tested and verified through experiments. The results obtained in this study are that: combining the wireless sensor network with the traditional video surveillance system as a whole and interoperating with each other not only enables the wireless sensor network to monitor and judge live real time data, but also enables the camera to be shot and tracked when a sensitive event occurs and use the image processing algorithm to make two judgments on the warning event and issue the correct alarm. The findings of this study may serve as solving the problem that the traditional video surveillance system relies solely on image recognition technology to make an event alarm, which causes misdetection and missed detection under low illumination conditions. As a result, it improves the alarm accuracy of the system and also makes up for a single wireless sensor network. When an alarm occurs, the on-site real time screen cannot be confirmed.
机译：这项研究的目的是调查视频监视系统的缺点和不足，从而提出了一种智能视频监视的新方法。采用了具体的硬件结构和软件算法设计。通过实验对算法的性能进行了测试和验证。这项研究获得的结果是：将无线传感器网络与传统的视频监控系统作为一个整体相结合，并且相互协作，不仅使无线传感器网络能够监视和判断实时数据，而且使摄像机能够在敏感事件发生时进行射击和跟踪，并使用图像处理算法对警告事件做出两个判断，并发出正确的警报。这项研究的结果可以解决传统的视频监控系统仅依靠图像识别技术进行事件报警的问题，该事件在低照度条件下会导致误检测和漏检测。结果，它提高了系统的警报准确性，还弥补了单个无线传感器网络的不足。发生警报时，无法确认现场实时画面。

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