Method and device for detecting shielding of camera based on automatic exposure

Abstract

The invention provides a method for detecting the shielding of a camera based on automatic exposure. The method comprises the steps of acquiring a video image collected by the camera; computing the luminance value of each pixel in the image, and obtaining the average luminance value of the image; computing the luminance contrast of the image; judging whether the exposure of the image is normal by combining with the average luminance value and the luminance contrast; and judging whether the camera is shielded based on the exposure of the image. Accordingly, a device for detecting the shielding of a camera based on automatic exposure is also provided. According to the method or device provided by the invention, through computing the average luminance value and the contrast of the image, and judging whether the automatic exposure camera is shielded by combining with the average luminance value and the contrast, the automatic identification on partial shielding of the camera is achieved, and an alarm prompt is provided for a shielding phenomenon by an alarming mechanism so as to correct in time, and thereby the invalidity of monitoring pictures caused by that the camera is shielded is avoided.

Description

technical field [0001] The present invention relates to the field of images, and in particular, the present invention relates to a camera occlusion detection method based on automatic exposure and a corresponding device thereof. Background technique [0002] With the development of the Internet of Things, smart homes are also gradually developed, and smart cameras are particularly important as a key link. In many important occasions in real life, such as banks, archives, families and other occasions, cameras are often set up to monitor in order to prevent theft or other unexpected situations. Traditional cameras only have basic functions such as taking pictures and video recordings. When there is an unexpected situation, such as the camera is moved beyond the range of the camera, the monitoring of important items cannot be realized. Or the camera is maliciously blocked and the camera monitoring function fails, which will bring opportunities for criminals to break the law. ...

AI Technical Summary

Problems solved by technology

Traditional cameras only have basic functions such as taking pictures and video recordings. When there is an unexpected situation, such as the camera is moved beyond the range of the camera, the monitoring of important items cannot be realized

Or the camera is maliciously blocked and the camera monitoring function fails, which will bring opportunities for criminals to break the law

At the same time, with the popularization of rotatable cameras, the shooting range of the camera is getting larger and larger. When the camera is rotated to a certain angle and there is an obstruction, especially the camera located in the corner, it is easy to be blocked by the wall and other obstructions, resulting in the camera being unable to take pictures. scene image of

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