Road traffic accident judging method and device

A technology of road traffic and discriminant methods, applied in the field of computer vision, can solve problems such as slow information processing speed and lack of special traffic events, and achieve the effect of improving accuracy

Active Publication Date: 2017-05-10
CHENGDU TOPPLUSVISION TECH CO LTD
View PDF8 Cites 20 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the need to train multiple images and use a classifier for real-time classification in this existing traffic accident discrimination method, th

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
  • Road traffic accident judging method and device
  • Road traffic accident judging method and device
  • Road traffic accident judging method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046] In order to enable those skilled in the art to better understand the solution of the present invention, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. Apparently, the described embodiments are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0047] A flowchart of a specific embodiment of the road traffic accident discrimination method provided by the present invention is as follows: figure 1 As shown, the method includes:

[0048] Step S101: Acquiring video images of the monitored road section;

[0049] The road traffic accident discrimination method provided by this application can be used on expressways, where overhead cameras are set at fixed...

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 discloses a road traffic accident judging method and device. According to the invention, lane lines are extracted from video images through obtaining the video images of a monitored road section; performing multi-target detection tracking on vehicles on each lane and determining driving tracks of the vehicles; according to relative positions of the driving tracks of the vehicles and the lane lines, judging whether the vehicles have lane change or not and determining lane change when the driving tracks of the vehicles deviate from the range of the current lanes; judging whether the vehicles have sudden stop or not according to coordinate differential values of vehicle feature points in video images of adjacent frame numbers and determining the sudden stop when the coordinate differential values are smaller than a preset threshold value; and determining traffic accidents in the monitored road section when detecting that multiple vehicles in one lane in the monitored road section have lane change and/or sudden stop. The method and device provided by the invention improves accident judging accuracy and can handle extreme traffic accidents with huge deformation of vehicles and the like well.

Description

technical field [0001] The invention relates to the technical field of computer vision, in particular to a method and device for judging road traffic accidents. Background technique [0002] The modern intelligent traffic video monitoring system has the ability to obtain rich information including lane congestion and vehicle violations more accurately and comprehensively, and can monitor various traffic conditions required by multiple lanes in real time. It has very good application and research value. [0003] For the identification of road traffic accidents, the current intelligent traffic video surveillance system mainly focuses on the feature extraction of the foreground targets of existing traffic events, and performs vehicle size segmentation for various types of vehicles including cars, buses and trucks. The traffic incidents are judged and identified by using the closed value of the area and the closed value of the width-to-length ratio of various vehicles in the de...

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): G08G1/01G06K9/00
CPCG08G1/0104G06V20/40G06V2201/08
Inventor 谷瑞翔葛雨辰徐一丹陈志超
Owner CHENGDU TOPPLUSVISION TECH 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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap