Two-way real-time vehicle chassis image synthesis method based on civil ipc

Abstract

The invention provides a double-direction real-time vehicle chassis image synthetic method based on a civil IPC. Data frame sequences are processed in real time and are spliced. The method comprises the steps that (1) IPC data frames are obtained, according to IPC distortion parameters, data frame correction is carried out, and candidate registration zones are extracted; (2) the excursion increment of adjacent data frames is computed; (3) the excursion increment is corrected and then is spliced in a fusion mode; and (4) the steps (1), (2) and (3) are carried out in a looping mode until a splicing stopping signal is received. The method meets the requirements of most application situations. Vehicle chassis splicing is completed automatically in real time through a control method, missing detection can be avoided, an obtained vehicle chassis image is complete, definition is high, resolution reaches millions of pixels, double-direction real-time splicing is supported, and the method is suitable for most application situations.

Description

technical field [0001] The invention relates to a vehicle chassis image splicing synthesis method, in particular to a method for real-time vehicle chassis image splicing based on civilian IPC (IP Camera, network camera) data frame sequences. Background technique [0002] At present, the entrance and exit vehicle passages of prisons, detention centers, drug rehabilitation centers and other places of detention mainly rely on the police to conduct manual searches when conducting security inspections on the chassis of entering and exiting vehicles, which is laborious and time-consuming. Due to the wide variety of motor vehicle chassis, inspectors are required to have a considerable understanding of various vehicle chassis, and they need to have rich experience in inspection and be more serious and responsible. Generally, inspectors will check slowly and easily cause missed inspections. At present, even if a small number of units have installed monitoring on the ground in the ins...

AI Technical Summary

Problems solved by technology

In the real scene, the external parameters of the panoramic camera will change during use, resulting in the inaccurate completion of distortion correction. In addition, the feature point matching of this scheme relies too much on the image quality, and the image quality of the actual scene is often poor, so It is very easy to cause inaccurate image registration process, and the quality of the chassis image obtained by fusion and stitching is bound to be poor, and even the stitching result cannot be obtained

Finding and matching feature points requires a lot of calculations, which also leads to insufficient real-time performance of the solution

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