Method and device for detecting interference of video camera

Abstract

The invention discloses a method and a device for detecting interference of a video camera. The method comprises the following steps of: acquiring N+1 frames of images [f1, f2, ..., fN+1] at a predetermined time interval, wherein the interval between every two frames of images is delta frame, delta is more than or equal to 1 and N is more than or equal to 1; calculating the average value mu N and standard difference sigma N of matched characteristic points in the N+1 frames of images; and judging whether the video camera is quickly moved or shielded or in the normal state or is slowly moved according to the average value mu M and the standard difference sigma N. By the method and the device, the movement or shielding of the video camera is detected by a characteristic statistical analysis method. The method and the device have the characteristics of correct detection, low false detection rate and the like and the advantages of no influence by the change of illumination, high instantaneity and the like. Moreover, the movement or shielding of the video camera can be distinguished by the method, so that the cause of a potential safety hazard can be prompted in a targeted way.

Description

technical field [0001] The invention relates to the technical field of camera detection, in particular to a method and device for detecting camera interference. Background technique [0002] In the process of video surveillance, some suspicious persons artificially move or block the camera in order to avoid the camera monitoring; on the other hand, the monitoring equipment is moved or blocked due to various accidents. If the monitoring staff does not find that the camera is moved or blocked, it may give criminals an opportunity to cause serious economic losses. Therefore, the computer can automatically, accurately and timely detect that the camera is moved or blocked, which has important practical significance. [0003] The existing technology does not distinguish between movement and occlusion, but only detects the scene change, detects whether the scene in the video changes, and prompts the staff whether the camera is disturbed. [0004] In the prior art, detection metho...

AI Technical Summary

Problems solved by technology

[0010] This method cannot distinguish whether the camera is moved or blocked, and this method is greatly affected by the change of illumination, and the false detection rate is high.

[0011] It can be seen that although the existing methods can detect that the camera has been disturbed, they cannot detect the specific cause of the disturbance. Moreover, either it is greatly affected by the change of illumination, the false detection rate is high, or the real-time performance is poor.

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