Panoramic video traffic situation monitoring system and method

Abstract

The invention relates to a panoramic video traffic situation monitoring method and system. The method comprises the following steps that a. videos of fields under monitoring are acquired by one group or multiple groups of video acquisition equipment; b. the acquired field videos are spliced into a panoramic video; c. real-time analysis of traffic flow speed and density is performed on the panoramic video so that traffic state data are obtained; d. information registration and fusion processing is performed on the panoramic video, the traffic state data and GIS maps including the fields under monitoring so that GIS live maps are formed; and e. the GIS live maps are pushed to monitoring display equipment. The system comprises the video acquisition equipment, GPU splicing modules, a traffic flow analysis module and an information registration and fusion processing module which are connected in turn according to information flow. The information registration and fusion processing is connected with the adaptive interface of the monitoring display equipment in a bidirectional communication way. High-efficiency and no-blind-area traffic video monitoring is realized under the condition of limited hardware investment.

Description

technical field [0001] The invention relates to a traffic situation monitoring system and method, in particular to a traffic monitoring system and method based on panoramic video, and belongs to the technical field of intelligent transportation. Background technique [0002] With the continuous improvement of urban transportation facilities, the number of vehicles is increasing day by day, the traffic pressure is increasing sharply, and the accident rate is rising significantly. Intelligent traffic monitoring is imperative, and the construction of intelligent transportation system (ITS) is imperative. The Intelligent Transportation System (ITS) understands the operation of road traffic by detecting the traffic flow information on the road, and quickly makes traffic guidance control according to the dynamic changes of traffic flow to reduce road congestion, reduce vehicle driving delays, and reduce traffic accidents. The probability of accidents is ensured, driving safety is ...

AI Technical Summary

Problems solved by technology

[0006] 1. The cameras are discretely installed on both sides of the road, and the area covered by each video screen is limited, resulting in a relatively large localization of the traffic flow analyzed by a single lens, and monitoring blind spots are common;

[0007] 2. Although the above-mentioned defects can be effectively made up for by increasing the number of cameras, it will bring about a multiplication of front-end equipment and back-end analysis and storage equipment, and a sharp increase in the cost

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