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

A technology of multi-viewpoint video and fusion method, which is applied in the field of multi-viewpoint video fusion and traffic parameter collection, can solve the problems of inability to monitor large-scenario traffic conditions, and inability to assess traffic conditions in large-scale scenes in real time.

Active Publication Date: 2014-08-13
WISESOFT CO LTD +1
View PDF6 Cites 39 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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 probl

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Multi-view video fusion and traffic parameter collecting method for large-scale scene traffic monitoring
  • Multi-view video fusion and traffic parameter collecting method for large-scale scene traffic monitoring
  • Multi-view video fusion and traffic parameter collecting method for large-scale scene traffic monitoring

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0026] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0027] An embodiment of a multi-viewpoint video fusion method for large-scale traffic monitoring of the present invention: a multi-viewpoint video fusion method for large-scale traffic monitoring, comprising the following steps:

[0028] Step 1. Video acquisition and decoding of video sources at each viewpoint: connect the network camera, obtain the video data in the camera monitoring scene, and then decode the data packets sent by each camera to obtain the video image of each frame. figure 1 It is the source image to be spliced ​​and fused from any two adjacent viewpoints, and the two images are t...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G08G1/01G08G1/065G08G1/08G06T5/50G06T7/00
Inventor 兰时勇吴岳洲吴佳黄飞虎
Owner WISESOFT CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products