Application of wireless sensor network in dynamic linkage video surveillance system based on Kalman filtering algorithm

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.