Method and device for processing video image under intelligent transportation monitoring scene

Abstract

The invention discloses a method for processing a video image under an intelligent transportation monitoring scene, which comprises the following steps: A. determining a lane detection region and determining the lane direction by analyzing the running track of a moving target in the lane detection region in continuous M frames of video images; B. respectively determining whether shadows exist in each later frame of the video image according to the lane direction and executing step C if determining that the shadows exist in continuous N frames of the video images; and C. respectively inhibiting the shadows in each later frame of the video image according to a hue, saturation and value (HSV) color model, determining whether the contact ratio of foreground images in each frame of the video image before and after the inhibition meets the requirements, and repeatedly executing step B if continuous L frames meet the requirements, wherein, M, N and L are positive integers which are greater than 1. The invention further discloses a device for processing a video image under the intelligent transportation monitoring scene. The method and the device of the invention can effectively inhibit the shadows in the video images.

Description

technical field [0001] The invention relates to intelligent traffic monitoring technology, in particular to a video image processing method and device in an intelligent traffic monitoring scene. Background technique [0002] In recent years, infrastructure investment has been increasing, and road construction is one of them. Since the road construction period is generally long, its growth rate is far behind the growth rate of vehicles, so that the traffic conditions in various cities are deteriorating day by day, and the establishment of a fully functional intelligent traffic monitoring system in the traffic management departments of each city is an improvement. An effective approach to the current traffic situation. Specifically, the camera collects video images of each road, analyzes the collected frames of video images, and conducts traffic statistics based on the analysis results, thereby realizing traffic control and management. [0003] Due to the influence of lighti...

AI Technical Summary

Problems solved by technology

Since shadows and moving objects (i.e. vehicles) often have the same motion characteristics, when analyzing video images, the shadow part may be wrongly classified as moving objects, thus affecting the shape of moving objects, such as Make the shape of the moving object larger, which will cause multiple moving objects to stick together, etc., which will affect the subsequent processing

Therefore, the shadow needs to be suppressed, but there is no effective suppression method in the prior art

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