Static area feature matched taxi monitoring abnormal image signal detection method

Abstract

The invention discloses a static area feature matched taxi monitoring abnormal image signal detection method. The method comprises the following steps of: 1, selecting a reference map; 2, pre-processing the reference map to obtain a filtering reference map; 3, selecting static areas in a taxi; 4, calculating the area and average grey level of the static areas of the reference map; 5, acquiring a to-be-detected image frame in real time; 6, pre-processing the to-be-detected frame; 7, calculating an average grey level of static areas of the to-be-detected frame; 8, extracting multisource features of a non-frame static area; 9, determining abnormal image signals on the basis of an abnormal degree of the non-frame static area; and 10, determining abnormal image signals by considering correlation coefficients of a frame area. By utilizing the method disclosed by the invention to detect the taxi monitoring images, the average processing time of each image is 0.273 s, and meanwhile, the accuracy rate of detecting the taxi monitoring images is up to 95.47%.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to an extended application of a taxi video monitoring system, in particular to an automatic detection method for abnormal image signals of the taxi video monitoring system. Background technique [0002] With the rapid development of machine vision technology, many cities in China have installed cameras in the taxi co-pilot position to monitor the operation of taxis in real time. By observing the video image data collected by the camera, the whole process of taxi operation can be supervised and managed. . However, during the operation of the taxi, the on-board camera will be interfered, resulting in the inability to collect image data or the abnormality of the collected images. These abnormalities include image transmission failures, incomplete image frames, and severe image deflection. Carry out screening, detect abnormal images in time, and remind the driver o...

AI Technical Summary

Problems solved by technology

However, during the operation of the taxi, the on-board camera will be interfered, resulting in the inability to collect image data or the abnormality of the collected images. These abnormalities include image transmission failures, incomplete image frames, and severe image deflection. Carry out screening, detect abnormal images in time, and remind the driver or taxi management personnel to repair the on-board camera in time to ensure that normal image data can be obtained

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