Traffic jamming detection method

A vehicle congestion and vehicle technology, which is applied in traffic flow detection, image data processing, instruments, etc., can solve the problems of high parameter accuracy requirements, high energy consumption, long time consumption, etc., and achieves a simple judgment method, simple structure and accurate. high sex effect

Active Publication Date: 2018-09-14
ZHEJIANG TIANBO CLOUD TECH OPTOELECTRONICS CO LTD
View PDF9 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The calculation of this patent is too complicated, takes a long time, takes a lot of energy, and requires high accuracy of parameters

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 jamming detection method
  • Traffic jamming detection method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 2

[0039] The difference between this embodiment and Embodiment 1 is that: step (d) in the detection area, if the vehicle is not detected for 50 consecutive frames, it indicates that the vehicle has left the detection area. Reason: If the detection rate is 0.5, then the probability of not detecting the vehicle for 50 consecutive frames is 0.5 50 , the probability is very small.

Embodiment 3

[0041] In described step (b), the mode that this vehicle is tracked can adopt existing mode, but in the present embodiment, specific mode is as follows:

[0042] (b0) Collect infrared image models of vehicles under different weather conditions, carry out learning and training through algorithms, and obtain network models for recognition. This step can be set as required.

[0043] (b1) Through the method of deep learning, the type recognition is carried out on the images in the detection area acquired by the passive infrared thermal imager, all vehicles and types are detected, the outer edge of the vehicle is marked, and the center coordinates (x, y) of the vehicle are calculated and The length and width of the vehicle (h, w);

[0044] (b2) analyzing all vehicles identified by the previous N frames of images, and all vehicle information in the identified current frame images, wherein N is an adjustment parameter, and the value range of N is 1

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 a traffic jam detection method, and belongs to the technical field of vehicle detection. The method comprises the following steps that (a) a detection area in the length of 200m is selected, and a passive infrared thermal imager in the frame frequency of 25 frames/second is used to obtain images in the detection area; (b) if the same vehicle is found in the detection areain 5 continuous frames, it is shown that the vehicle enters the detection area, and the vehicle is tracked; and (c) in the detection area, jamming is determined by that (c1) if the vehicle appears inthe detection area in fewer than 300 frames, it is shown that the detection area is unobstructed; (c2) ) if the vehicle appears in the detection area in more than 300 frames and fewer than 500 frames,it is shown that passing in the detection area is slow; and (c3) if the appears in the detection area in more than 500 frame, it is shown that jamming occurs in the detection area. The method is simple, accurate and high in speed and efficiency.

Description

technical field [0001] The invention relates to the technical field of vehicle detection, in particular to a method for detecting vehicle congestion. Background technique [0002] The judgment of traffic congestion is mainly given by manual observation and detection of video, and the output result is considered. [0003] In order to achieve automatic judgment, there are currently many detection methods for road congestion. For example, the application number is: 201510904467.3, and the name is "A Method and System for Judging Traffic Congestion Based on Video". This method needs to extract feature points and calculate vehicle speed. The queue length is calculated according to the characteristic points, and traffic congestion is judged by the relationship between vehicle speed, queue length and the set threshold. The calculation of this patent is too complicated, takes a long time, takes a lot of energy, and requires high accuracy of parameters. Contents of the invention ...

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): G08G1/04G06T7/246G06K9/62
CPCG06T7/246G08G1/04G06T2207/30236G06T2207/10016G06V2201/08G06F18/24
Inventor 梁川袁杰
Owner ZHEJIANG TIANBO CLOUD TECH OPTOELECTRONICS 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