Method for removing shadow interference of moving object in video

Abstract

The invention discloses a method for removing shadow interference of a moving object in video. The method for removing shadow interference of the moving object in the video comprises the steps of (1) obtaining RGB values of pixels in a binary image of the moving object, (2) calculating the luminance component value and the chromaticity component value of each pixel, (3) obtaining a luminance component graph of the moving object according to the calculated luminance component values of all the pixels, (4) obtaining a chromaticity component graph of the moving object according to the calculated chromaticity component values of all the pixels, (5) removing influence of a shadow on the luminance and the chromaticity, (6) calculating a morphology gradient texture component of the moving object according to the luminance component graph of the moving object, obtaining a textural feature graph of the moving object, and (7) carrying out disjunction on the luminance component graph, the chromaticity component graph and the textural feature graph of the moving target to obtain a moving object graph without shadow interference. The method for removing shadow interference of the moving object in the video has the advantages that due to the fact that the shadow of the moving object is removed, bad influence cannot be caused to the follow-up detection result, and accuracy of the follow-up detection is improved.

Description

technical field [0001] The invention relates to a video signal processing method, in particular to a method for removing video moving object shadow interference. Background technique [0002] In the intelligent traffic incident detection system, the intelligent video detection system with traffic violation detection, identification and processing functions is mostly regarded as the subsystem of the intelligent traffic system. For example, the Citilog system can detect illegal parking, illegal retrograde, illegal lane occupation and vehicle speeding, etc., and has achieved good results in practical applications. However, since the moving objects in the video taken by the monitoring equipment in the intelligent traffic incident detection system generally have shadows, the existence of the shadows will cause two or more moving objects to be detected and then be connected together, so that multiple moving objects The target becomes a target; therefore, when analyzing and proces...

AI Technical Summary

Problems solved by technology

However, in this method, when the color of the moving target is relatively dark and similar to the brightness of the shadow, the moving target will also be detected as a shadow by mistake, which will have a negative impact on the detection results, so that the scene of the traffic accident cannot be clearly restored.

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