Illegal parking detection method based on multi-core synchronization

A technology of illegal parking and detection method, which is applied in the field of rapid retrieval of illegal parking events in video surveillance, can solve the problems of large serial execution time consumption, etc., and achieve the effects of shortening detection time, improving detection efficiency, and shortening time consumption

Inactive Publication Date: 2013-09-25
XIDIAN UNIV
View PDF7 Cites 21 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Computer vision algorithms usually perform pixel-based processing on a large number of video frames, which is a data-intensive operation, and serial execution time consumption is very large

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
  • Illegal parking detection method based on multi-core synchronization
  • Illegal parking detection method based on multi-core synchronization
  • Illegal parking detection method based on multi-core synchronization

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044] The present invention will be further described below in conjunction with the accompanying drawings.

[0045] Such as figure 1 Shown, the present invention is a kind of illegal parking detection method based on multi-core parallel, comprises the following steps:

[0046] (1) Background modeling, using an improved codebook model for background modeling.

[0047] (2) Foreground segmentation, foreground segmentation is performed on the video frame sequence within the detection period to obtain a binary image.

[0048] (3) Data preprocessing, evenly divide all foreground binary images and original images in the stage to be detected into M*N rectangular blocks, and each block is a data unit. Mark the location area blocks where parking is prohibited, and the following algorithms only consider such area blocks.

[0049] (4) Map-Reduce parallel computing, in which the Map stage: distribute and calculate all data units, count the proportion of foreground pixels in each area b...

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 an illegal parking detection method based on multi-core synchronization. The camera for shooting and a processing system connected with the camera are provided for the method. The processing system is provided with an original image for comparing whether the automobile is illegally parked; the method comprises the following steps of: (1) background modeling; (2) foreground segmenting; (3) data pre-processing; (4) map-reduce synchronous computation; (5) retention area detecting; and (6) retention target judging. The background is modeled through an improved codebook model to obtain an accurate foreground segmentation result, the region partitioning is performed on the to-be-detected video frame, the foreground proportion and color feature vector of different frames in the same region partition are synchronously computed by Map-Reduce. The retention region detection and illegal parking detection are performed according to the computing result, specifically, the foreground proportion and the color feature vector of the continuous frame sequence are used for judging whether the target is the same retention target, and the adjacent residential area combination and the scale filter judgment are used for judging whether the target is the automobile target.

Description

technical field [0001] The invention relates to related technologies in the field of computer vision and parallel computing, in particular to a multi-core parallel-based detection method for illegal parking, which is a fast retrieval method for illegal parking events in video surveillance. Background technique [0002] With the rapid development of the economy and society, the scale of the city continues to expand, and the urban traffic is facing tremendous pressure. The intelligent transportation system has also been widely researched and applied. The intelligent traffic monitoring system includes on-site automatic evidence collection equipment for traffic violations and illegal punishment. The information management system, as well as the legal and effective execution process, is a comprehensive computer vision, artificial intelligence, pattern recognition, image processing, modern control, communication technology, large-scale database management and other advanced technol...

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): G08G1/017G06K9/00
Inventor 王韦桦刘志镜刘慧袁通强波徐曾张慧泽张璐萱赵宏伟李雨楠贺文骅熊静唐国良赵纬龙曹文涛
Owner XIDIAN 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