Method for controlling video turning based on image comparison calculation

Abstract

In a monitoring platform in which a large number of video capture terminals are integrated, it is difficult to accurately grasp the key points because the duty personnel often pay attention to one thing and lose the other when they monitor the video images, which results in a fact that the important situation can not be found in time and even be omitted; on the other hand, a large number of videoimages collected by video capturing terminals are in a long-term ''dynamic still'' state, but once the video image change, the video image need to be further discriminated artificially. Computer software is more accurate, more efficient and more economical than artificial work in identifying whether the video image has changed or not. The invention comprises the steps of firstly calculating the weight value of each video collection terminal based on the difference between the videos collected by a single video collection terminal successively, and then screening according to the weight value of each video collection terminal to determine the mode and method in sequentially playing the video streams collected by a plurality of video collection terminals on a user screen. The method improvesthe efficiency of artificial video rotation screening by man-machine combination.

Description

technical field [0001] The invention relates to the technical field of video monitoring, in particular to a system automatic control patrol method for monitoring video. Background technique [0002] On the monitoring platform that integrates a large number of video collection terminals, the on-duty personnel often lose sight of one another when viewing video images, and it is difficult to accurately grasp the key points, resulting in important situations not being discovered in time, or even being missed; on the other hand, a large number of video The video image collected by the acquisition terminal is in a long-term "dynamic static" state, but once it changes, it needs to be further screened manually; and for the identification of whether the video image has changed, computer software is more accurate, efficient, and more efficient than manual work. Economical; At present, there is no product on the market that is based on the combination of man and machine and improves th...

AI Technical Summary

Problems solved by technology

[0002] On the monitoring platform that integrates a large number of video collection terminals, the on-duty personnel often lose sight of one another when viewing video images, and it is difficult to accurately grasp the key points, resulting in important situations not being discovered in time, or even being missed; on the other hand, a large number of video The video image collected by the acquisition terminal is in a long-term "dynamic static" state, but once it changes, it needs to be further screened manually; and for the identification of whether the video image has changed, computer software is more accurate, efficient, and more efficient than manual work. Economical; at present, there is no similar product on the market based on the combination of human and machine, which improves the efficiency of manual video patrolling and screening