Camera lens occlusion detecting system and method

Abstract

The invention discloses a camera lens occlusion detecting system and method. The system comprises an image collection module, an image pre-processing module, a background establish module, a high-frequency component extraction module, a generalized image establish module, a suspected occlusion area detection module and an occlusion area determining module, wherein the background establish module is used for acquiring a smooth background image; the high-frequency component extraction module differentiates an initial image and the background image to acquire a high-frequency component distribution graph; the generalized image establish module combines an enhanced image and a pre-processed initial image to establish a generalized image, and performs edge extraction on the generalized image and the generalized image is convolved; the suspected occlusion area detection module compares a convolution result with a preset threshold, and determines that the suspected occlusion area is a candidate occlusion area if the convolution result is less than the preset threshold; and the occlusion area determining module traces the subsequent image pixel value of the suspected occlusion area, and determines that the suspected occlusion area is an occlusion area finally if brightness variations of all the pixels in the area are less than the preset threshold. By using the system and the method, whether the lens is occluded or not can be effectively judged.

Description

technical field [0001] The invention belongs to the technical field of video monitoring, and relates to a monitoring system, in particular to a camera lens occlusion detection system; meanwhile, the invention also relates to a camera lens occlusion detection method. Background technique [0002] With the continuous increase of the monitoring system network, the number of cameras deployed in the network continues to increase. For example, in the urban traffic monitoring system, the number of monitoring points can range from tens of thousands to hundreds of thousands. There are more and more cameras in the system, and it is impossible to arrange enough security personnel to check the working status of each camera. Many cameras cannot work normally due to long-term unmaintained, including power failure, virtual focus, occlusion, etc., resulting in the inability to monitor. Checking the working status of the camera in real time requires the intelligence of the camera itself to ...

AI Technical Summary

Problems solved by technology

At present, many surveillance systems have been in operation for many years, and some lenses in the system have been

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