Video monitoring system image acquisition method and apparatus

Abstract

The invention provides a video monitoring system image acquisition method. The method comprises the following steps of acquiring one frame in a monitoring video, which means that an image expressed by the frame is acquired; according to a preset noise removing rule, removing noise data in the image; according to a preset target identification rule, identifying a target object in the image where the noise data is removed; adding a label to the frame, wherein the label can express a preset characteristic of the target object based on semantics; storing the label corresponding to the frame. Through mapping an extracted visual bottom layer characteristic to high-layer semantic information which is convenient for intuitive understanding of human according to a preset algorithm, based on that, classification and marking of video monitoring image data are realized and a meaning of the video monitoring image data is well expressed. ''A semantic gap'' between an image bottom layer characteristic and rich semantic contents of human is reduced and even eliminated and rapid and high-efficient acquisition of a video monitoring image is realized.

Description

technical field [0001] The invention belongs to the field of multimedia technology, and in particular relates to a method and device for acquiring an image of a video monitoring system. Background technique [0002] Compared with text information, images and videos contain rich information, and are widely used in various industries due to their intuitive, vivid and real-time advantages. [0003] For video surveillance in a large area, theoretically, a large number of cameras can be used to fully cover the surveillance area, and these cameras overlap or are adjacent to each other in the field of view. Surveillance systems for this camera arrangement are costly; and unnecessary since not all areas need to be monitored. Therefore, in an actual monitoring system, in order to reduce costs, cameras are usually arranged in important areas, and each camera only covers an area to be monitored. Although there will be monitoring blind spots between these cameras, each camera is not i...

AI Technical Summary

Problems solved by technology

With the development of economy and society, people's demand for security monitoring has increased. Therefore, a large number of cameras are installed on various important occasions, and the multi-camera monitoring system without overlapping fields of view will generate a large amount of images and video data every moment. While video data brings great convenience to people's work and life, it also makes it very difficult to quickly and accurately find the target object of interest from a large number of images and video data

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