Method for monitoring automatization discriminating video

Abstract

An automatization discriminating video monitoring method has the steps: first building a refernence label array, adjusting the power of the RF reader to ensure the reading range to entirely cover the label array; then computing the mean of each electrical label signal intensity in the refernence label array and the signal intensity changing range when objects passby, getting the signal intensity threshold through the statistical analysis; and then, recording the signal intensity of all the labels including the refernence label in the whole monitoring process, and forming the signal intensity sequence through completing the missing items anf removing the abnormal value; reconverting the signal intensity sequence to form the trace set, and generating the frequent trace set from the trace set; finally judging the present behavior to be the permissive activity by the system through the detecting process. The invention not only provides the similar accuracy as the traditional art, but alsoprovides the realtime monitoring function, saves the cost of human resources and the cost of the video realtime discriminating technology.

Description

Video Surveillance Method for Automatic Recognition technical field The invention relates to a monitoring method in the field of radio frequency technology, in particular to an automatic identification video monitoring method. Background technique Radio frequency technology is an automated identification technology that is widely used in object tracking, supply chain management, security control, and animal identification. The radio frequency reader can automatically detect objects marked with radio frequency electronic tags within its reading and writing range, and read and write the information stored in the electronic tags. However, the application requirements of radio frequency are: the monitored objects must be equipped with electronic tags in advance, and the monitored objects in the video surveillance system are mostly uncertain, especially in security monitoring, it is impossible to use electronic tags to identify objects in advance, so There are few studies on t...

AI Technical Summary

Problems solved by technology

This system has four major disadvantages: First, it requires an operator to monitor the video collected by monitoring equipment such as video cameras or digital cameras in real time. The cost of monitoring equipment is high, and labor costs must be borne, otherwise the early warning function of real-time monitoring will be lost.

Its shortcomings are: 1. It is required that the tracked object must have an electronic tag, but most of the objects in the video surveillance system are uncertain, and it is impossible to identify the object with an electronic tag in advance

3. This method uses active tags. First, it consumes a lot of energy, and second, it is expensive.

However, this article is only a theoretical discussion and cannot be directly applied to the actual video surveillance system. The specific performance is: no real-time monitoring function is provided, so it is impossible to talk about how to monitor in real time; the time complexity is high, the system executes slowly and The accuracy rate is not high; the use of active electronic tags is not only costly, but also consumes a lot of energy, ignoring the requirements of environmental protection

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