Vehicle detection method

A vehicle detection and vehicle technology, applied in the field of video vehicle detection based on image processing technology, can solve the problems of destructive surrounding environment, short service life, difficult maintenance, etc., achieve good real-time performance, fast detection, and overcome poor reliability Effect

Inactive Publication Date: 2009-12-30
HISENSE GRP HLDG CO LTD
View PDF1 Cites 16 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In order to overcome the disadvantages of poor reliability, short service life, difficult maintenance, and great damage to the surrounding environment in the existing vehicle detection means using entity detection sensors, the pre

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
  • Vehicle detection method
  • Vehicle detection method
  • Vehicle detection method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] Specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0024] The vehicle detection method of the present invention adopts a video detection technology to complete the detection of passing vehicle speed, vehicle length and traffic flow, and its design principle is: upload an on-site image to be detected according to user needs; A virtual detection area is set on the scene image, that is, the detection area is only displayed on the image, and there is no specific entity; the scene to be detected is video monitored, and the line collision record (ie, in the video image) is recorded according to the vehicle passing through the detection area. When the number of pixels that represent the vehicle fall into the detection area reaches the set threshold for the first time, it is considered that the vehicle has crossed the line) to complete the detection of the vehicle. Adopting this video vehicle detectio...

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 vehicle detection method. A detection area is set on a field image to be detected, the field to be detected is subjected to video monitoring, and the detection for vehicles is completed by utilizing line bumping records of the vehicles passing the detection area. The vehicle detection method adopts the virtual detection area set in the field image to be detected to replace an entity detection sensor adopted by the prior detection means so as to overcome the inherent defects of poor reliability, short service life, high maintenance difficulty, large destructiveness on surrounding environment and the like of the prior detection means, has the obvious advantages of quick and precise detection, small computation, good real-time, high measuring accuracy and the like, and can be applied to various urban road conditions.

Description

technical field [0001] The invention belongs to the technical field of vehicle detection, and in particular relates to a video vehicle detection method based on image processing technology. Background technique [0002] Road transportation plays an increasingly important role in contemporary society, and whether the measures of traffic management and control are appropriate will directly affect the working efficiency of the entire transportation network. The traffic volume, vehicle speed and correct identification of vehicle types are three important indicators that must be used in traffic control and management. Therefore, the precise measurement of the above three indicators is particularly important. The currently used detection method is generally to set two detection lines in the area to be detected, and calculate the vehicle speed, vehicle length and traffic flow through the collision record of the vehicle passing through the detection line. [0003] In the vehicle d...

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): G08G1/01G01C11/00
Inventor 胡硕刘微刘韶郭峰
Owner HISENSE GRP HLDG 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