A supplementary light device and method for assisting video stream in image splicing

Abstract

The invention discloses a supplementary light method for assisting video streams in image splicing, comprising the following steps: S01: camera initialization, the supplementary light control module obtains supplementary light parameters according to the camera initialization parameters; S02: the supplementary light control module Simultaneously output the fill light parameters to the splicing module and the fill light, the fill light is located below the camera; S03: The camera captures images and transmits them to the splicing module; S04: The splicing module determines new fill light parameters based on the current frame image , and transmit it to the fill light control module; S05: the fill light control module simultaneously outputs the new fill light parameters to the splicing module and the fill light, and returns to step S03 until the camera finishes shooting. The present invention adopts the method of splicing multiple frames of images to obtain a complete image, and in the shooting process, uses a supplementary light device to supplement the light of the camera to ensure that the single-frame captured image and the complete vehicle image after splicing are clear and accurate, and the system stability is improved.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a light supplement device and method for assisting video streams in image splicing. Background technique [0002] With the popularization of private cars and the wide application of intelligent management systems, vehicle model identification has become the most important and basic part of the vehicle management system. The key to the new high-speed toll standard lies in the identification of accurate axles and vehicle lengths, and the identification of axles And the vehicle captain needs to obtain an accurate and clear side view of the vehicle. [0003] For the acquisition of vehicle images in the prior art, the following two methods are usually adopted: (1) a close-up camera is installed on the side of the driveway. Feature points identify vehicle information. Although the device and method can capture the moving state of the vehicle from far to near or from near to far, since...

AI Technical Summary

Problems solved by technology

Since the depth distance of different moving objects is a dynamic variable, the angle error caused by the non-parallel driving of the vehicle along the roadside, and the more or less imaging differences between multiple cameras, this method has the defects of low stitching accuracy and cumbersome deployment and installation.

In the prior art, both of these two shooting methods will be affected by the external environment. Under the influence of different seasons, different time periods, and different weather conditions, there will be differences in the captured images, and this difference will also affect the clarity of the images. and stability

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