Traffic intersection video and computer parallel processing-based real-time pedestrian early-warning method

A traffic intersection and computer technology, which is applied in the field of real-time pedestrian warning based on traffic intersection video and computer parallel processing, can solve the problems of large calculation amount of tracking algorithm and difficulty in realizing real-time tracking and warning.

Active Publication Date: 2016-10-12
NANJING UNIV OF POSTS & TELECOMM
View PDF9 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The invention is used to solve the problem that the traditional foreground extraction algorithm and tracking alg

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
  • Traffic intersection video and computer parallel processing-based real-time pedestrian early-warning method
  • Traffic intersection video and computer parallel processing-based real-time pedestrian early-warning method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0038] The specific embodiment of the present invention will be further described in detail in conjunction with the accompanying drawings. The invention uses multi-threads to process multiple algorithms with a large amount of calculation in parallel, and utilizes dynamic queue technology to share technology between threads, so that the complex early warning algorithm for pedestrians at intersections can run in real time. It mainly includes the following steps:

[0039] A1. Pretreatment:

[0040] Delineate the effective monitoring area for the traffic intersection video in the real scene, delineate the direction of entering the intersection according to the direction of the intersection, and save the record

[0041] A2. Extraction of motion foreground:

[0042] Start a processing thread and use the Vibe algorithm to extract all moving objects in the video, such as figure 1 as shown in the left box part of the , and save it to the dynamic queue, as shown in figure 2 shown i...

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 present invention discloses a traffic intersection video and computer parallel processing-based real-time pedestrian early-warning method. The method comprises the steps of extracting the moving foreground of an intersection, extracting pedestrian targets in the classified manner, tracking pedestrian targets in real time and alarming the condition of a pedestrian entering the intersection. During the early-warning process, moving targets in the foreground of a monitoring video is extracted based on the Vibe algorithm. After that, pedestrian targets and non-pedestrian targets, out of all moving targets in the foreground, are classified by using an off-line trained pedestrian linear SVM classification model. Finally, pedestrian targets are tracked based on the joint probabilistic data association (JPDA) tracking algorithm, so that the moving data of pedestrians are acquired. Therefore, the early-warning is conducted. According to the technical scheme of the invention, a traffic intersection video is detected, and a pedestrian target in the traffic intersection video is tracked and processed in real time. In this way, an improved method is provided. The multi-thread parallel processing is conducted and the shared data of queues are buffered dynamically. As a result, on the premise that the calculated amount of the foreground detecting and tracking algorithm is relatively large, the monitoring video can be maximally ensured to be processed in real time.

Description

technical field [0001] The invention belongs to the application of video image processing technology in the traffic control system of road vehicles, and is a solution for real-time tracking and early warning of video pedestrian targets at traffic intersections. It is mainly used to solve the problem that it is difficult to realize real-time tracking and early warning when the foreground extraction algorithm and tracking algorithm have a large amount of calculation. Background technique [0002] With the development of economy and society, the popularization of private cars and the increasing number of vehicles on the road, the early warning of traffic accidents on high-risk roads and intersections has also attracted more and more attention. In traffic intersection accidents, collision accidents are most likely to occur between vehicles and pedestrians, cyclists and pedestrians. Protecting the life safety of pedestrians has always been an important issue in traffic safety. E...

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): G08G1/16
CPCG08G1/166
Inventor 张诚哲刘浏李晓飞符士磊
Owner NANJING UNIV OF POSTS & TELECOMM
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