Multi-view video fusion and traffic parameter collecting method for large-scale scene traffic monitoring

Abstract

The invention relates to the field of computer application technique and traffic management, in particular to a multi-view video fusion and traffic parameter collecting method for large-scale scene traffic monitoring. The fusion method comprises the steps of collection and decoding of videos of viewpoint video sources, transformation and splice fusion of adjacent view frame images, and image rendering of the frame images after fusion of the multi-view video fusion. According to the method, real-time collection, decoding, video frame transformation registering and texture mapping are performed on multi-path parallel videos, and therefore fused traffic large-scale scene videos are obtained; texture characteristic analysis is performed on roads in a traffic large-scale scene image sequence to obtain real-time traffic parameters, used for traffic analysis and evaluation, such as the traffic queuing length, the non-motor vehicle density, the traffic flow and travel time of the roads in various directions of the area.

Description

technical field [0001] The invention relates to the fields of computer application technology and traffic management, in particular to a multi-viewpoint video fusion and traffic parameter collection method for large-scale traffic monitoring. Background technique [0002] Road traffic high-point monitoring helps traffic managers remotely monitor real-time road traffic conditions, and then assists traffic control departments to effectively manage and command traffic. However, most of the existing road traffic high-point monitoring is to set up a dome camera at a high point in a certain scene, and drive to view the traffic conditions in a certain local area through manual remote control, but it is difficult to monitor the traffic conditions in large scene areas at the same time, such as intersections. Traffic situation in all directions. [0003] In the existing urban traffic, intersection signal light control often appears that one direction is in the green light phase and no...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a multi-viewpoint video fusion and traffic parameter collection method for large-scale traffic monitoring, which solves the problem that the existing technology cannot accurately monitor large-scale traffic conditions, and cannot accurately monitor real-time large-scale traffic conditions. Questions for assessment

Images