Video-based vehicle collision accident detection method and system

A technology of vehicle collision and detection method, which is applied in the field of video-based vehicle collision accident detection, can solve the problems of inability to control and adjust the traffic state in surrounding areas, and affect the timeliness of accident handling, so as to relieve traffic pressure, improve accuracy, and improve The effect of response speed and processing speed

Active Publication Date: 2013-07-31
SUN YAT SEN UNIV +1
View PDF4 Cites 19 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The discovery and handling of existing vehicle collision accidents mainly depend on the active alarm of the accident participants, which affects the timeliness of accident handling, and secondly, the traffic authorities cannot control and adjust the traffic status of the surrounding area in time according to the occurrence of the accident.

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
  • Video-based vehicle collision accident detection method and system
  • Video-based vehicle collision accident detection method and system
  • Video-based vehicle collision accident detection method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0056] Such as figure 1 As shown, it is a flow chart of a specific embodiment of a video-based vehicle collision accident detection method in the present invention. see figure 1 , the specific steps of a video-based vehicle collision accident detection method in this specific embodiment are as follows:

[0057] Step S101: collect video stream data; the video stream data can be obtained by shooting with a camera installed on the side of the traffic road, and the video stream data of the road conditions captured by the camera can be collected remotely.

[0058] Step S102: Process the collected video images to obtain moving foreground detection images;

[0059]Step S103: Tracking the vehicle in the moving foreground detection image;

[0060] Step S104: Detecting the tracking vehicle to determine the vehicle with body adhesion;

[0061] Step S105: Discriminate the vehicle speeds of the vehicles that are stuck together, determine the vehicle whose vehicle speed changes suddenly...

Embodiment 2

[0085] Such as Figure 7 As shown, it is a structure diagram of a specific embodiment of a video-based vehicle collision accident detection system in the present invention. see Figure 7 A video-based vehicle collision accident detection system in this specific embodiment specifically includes:

[0086] The video acquisition module 201 is used to collect video stream data; the video stream data can be obtained by shooting with a camera installed on the side of the road, the video acquisition module is connected with the camera, and the video stream data of the road conditions captured by the camera can be remotely collected; wherein The video capture module can be realized by using a video capture card, or it can directly receive the digital video signal stream.

[0087] The moving foreground detection module 203 is used to process the collected video image to obtain a moving foreground detection image; it is specifically used to: extract the background image according to th...

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 digital image processing, in particular to a video-based vehicle collision accident detection method and a video-based vehicle collision accident detection system. The method comprises the following steps: acquiring video stream data; processing acquired video images to acquire a motion foreground detection image; tracking vehicles in the motion foreground detection image; detecting the tracked vehicles to judge the vehicles which are adhered to each other; and judging the vehicle speeds of the adhered vehicles and determining that the vehicle of which the vehicle speed is changed suddenly is subjected to a collision accident. By the method and the system, road traffic can be monitored in real time, the accident can be positioned at the first time and accident alarming is provided, and the responding speed and handling speed of the traffic accident are effectively increased, so that traffic pressure caused by the traffic accident is effectively relieved.

Description

technical field [0001] The invention relates to the field of digital image processing, and more specifically, to a video-based vehicle collision accident detection method and system. Background technique [0002] With the rapid development of economy and society, the number of vehicles in our country is also increasing rapidly, the pressure on road traffic is very high, and traffic congestion has become a common phenomenon in the transportation system. And because of the extremely active road traffic activities, road traffic accidents have also entered a period of high incidence, and the occurrence of road traffic accidents has further increased the pressure on road traffic. Therefore, higher requirements are put forward for the timely handling of traffic accidents. [0003] The discovery and handling of existing vehicle collision accidents mainly depend on the active alarm of the accident participants, which affects the timeliness of accident handling, and secondly, the tr...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01G06K9/00
Inventor 李熙莹罗长政王镇波罗东华余志
Owner SUN YAT SEN UNIV
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