Digital reconstruction method of traffic accident scene based on monitoring videos

Abstract

The invention provides a digital reconstruction method of a traffic accident scene based on monitoring videos, comprising the following steps of: steps one, continuously extracting frames related to movement positions of a detected vehicle from a monitoring video sequence; step two, calibrating a control point of each frame image in sequence and calculating corresponding values of DLT (direct linear transformation) coefficients; step three, selecting an observation point to acquire image space coordinates of the observation point at different moments and respectively calculating object space coordinates of the observation point at the corresponding moments by combining the values of the DLT coefficients; and step four, carrying out the digital reconstruction of the scene on a movement state of the vehicle to obtain a path line of the vehicle movement, and solving a displacement curve, a speed curve and an accelerating curve of the vehicle movement. The method provided by the inventioncan realize the digital reconstruction on the vehicle movement state in the scene at different road sections, thus the problem of monitoring on the vehicle movement state in a large range is solved, measurement accuracy is improved and cost is reduced.

Description

technical field [0001] The invention relates to an on-site digital reconstruction method in the field of traffic safety, in particular to a monitoring video-based on-site digital reconstruction method for traffic accidents. Background technique [0002] The driving speed of motor vehicles has a high correlation with traffic safety: with the increase of motor vehicle speed, the probability of traffic accidents and casualties also shows a sharp upward trend. Therefore, all countries in the world are actively taking measures to strictly prohibit vehicles from speeding on relevant road sections, so as to ensure the safety of people's lives and property. In this process, the on-site digital reconstruction of the vehicle motion state becomes an important basis for analyzing the causes of traffic accidents, and is also a key factor for dividing the responsibility for traffic accidents. [0003] After searching the prior art documents, it was found that Wen Liu et al published the ...

AI Technical Summary

Problems solved by technology

However, the operation of this method is too complicated, and it is difficult to accurately locate the positions of multiple cameras and induction

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