Monitoring camera shielding detection method based on video classification

Abstract

The invention discloses a surveillance camera occlusion detection method based on video classification. The surveillance camera occlusion detection method comprises three parts of data preparation, data preprocessing and occlusion detection. In the data preparation stage, monitoring video data is manually labeled, and occlusion videos and normal videos are subjected to dichotomy. In a data preprocessing stage, the video data set is converted into an image data set, and the video frame image is enhanced by using adaptive histogram equalization with limited contrast. In the occlusion detection stage, a video classification method based on deep learning is utilized, video apparent characteristics and time sequence characteristics are comprehensively considered, whether occlusion abnormity occurs in the camera or not is intelligently judged, and high accuracy is achieved. The method is reliable and high in detection accuracy, reduces the requirements of hardware equipment, and can be applied to various bad weather factors.

Description

technical field [0001] The invention relates to a camera occlusion detection method, in particular to a surveillance camera occlusion detection method based on video classification, which belongs to the field of video processing. Background technique [0002] Surveillance systems of all sizes have become an integral part of public and private infrastructure in modern society. Inexpensive surveillance cameras and the many security advantages they bring have led to massive deployments of surveillance systems: from hundreds of cameras in schools to thousands in airports are common configurations. However, if the camera in the monitoring system is blocked maliciously, the monitoring system will not be able to play its expected role, and may even cause heavy losses. For example, thieves cover home cameras and sneak into private houses to steal; lawbreakers cover gas station oil tanker vehicle surveillance cameras and then steal oil; thieves cover shopping mall surveillance camer...

AI Technical Summary

Problems solved by technology

These methods are often only applicable to a specific monitoring system, not universal and good portability

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