Video safety prevention and monitoring method based on biology sensing and image information fusion

Abstract

This invention relates to one visual safety monitor method based on biological sensor and image information integration, which uses move aim test and image information integration method to analyze the images and comprises the following steps: when intelligent monitor terminal through biological sensor tests the attack triggered alarm and sends signal to center host through special network; the monitor center receives the signals and uses move aim test and body outline property integration for analysis to judge the signal; the monitor center host executes relative operations according to the judgment results.

Description

technical field [0001] The invention belongs to the technical fields of biological sensing, digital image processing and pattern recognition, and specifically relates to a video security monitoring method, through which only invading human organisms can be monitored in places such as sensitive areas and important infrastructures under different geographical environments. 24 / 7 video security surveillance. Background technique [0002] The safety of important infrastructure and sensitive areas has always been the focus of people's attention, and the safety of important infrastructure and sensitive areas is directly related to national security and the safety of people's lives and property. In the past, the security monitoring of important infrastructure and sensitive areas mainly used active infrared detection or laser detection. When an intruder was found, the on-site alarm device immediately generated an alarm signal, and the personnel on duty near the alarm point responded ...

AI Technical Summary

Problems solved by technology

There are three deficiencies in the above-mentioned safety monitoring method: one is that the position of the alarm point cannot be accurately judged, which brings difficulties to the inspection of the personnel on duty; the other is that infrared or laser detection is easily interfered by the external environment and produces false alarms; The criminal process of the intruder cannot provide a strong basis for the relevant functional departments

However, there are still two deficiencies in the current video surveillance technology, which prevent it from being directly applied to the security monitoring of important facilities

One is that most of the general video surveillance systems are manually guarded, and the intruders cannot be found in time, and the real-time alarm performance is poor; the other is that even if the system has a real-time alarm function, the sensing means of infrared or laser detection are easily affected by the outside world. The disadvantage of environmental interference still exists

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