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Vehicle type identification and traffic flow detection method

A technology for traffic flow detection and vehicle type identification, applied in the fields of vehicle type identification and traffic flow detection, can solve problems such as large amount of calculation, and achieve the effects of good robustness, high identification and detection accuracy, and low computational complexity.

Inactive Publication Date: 2017-09-01
南宁市正祥科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The background difference method can obtain the complete shape of the moving object, but usually the amount of calculation is also large

Method used

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Examples

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Comparison scheme
Effect test

Embodiment Construction

[0047] The following specific examples further illustrate the present invention, but are not intended to limit the present invention.

[0048] A vehicle type identification and traffic flow detection method, comprising the following steps:

[0049] S1: Read the video frame image from the traffic surveillance video, set the detection area, and use the mean method and ostu method to extract the target foreground information;

[0050] S2: Determine whether there is vehicle target information in the foreground target, if not, go to step S1 to read the next frame;

[0051] S3: Use a color and texture-based shadow detection algorithm to remove shadows from the extracted foreground;

[0052] S4: Use the canny edge detection method to detect the outline of the target block after removing the shadow, extract the outline and extract the minimum circumscribed rectangle of the outline, and determine the vehicle type according to the following formula;

[0053] ;

[0054] S5: Use the ...

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PUM

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Abstract

The invention discloses a vehicle type identification and traffic flow detection method. The method comprises: S1: a video frame image is read from a traffic monitoring video, a detection area is set, and target foreground information is extracted by using an averaging method and an ostu method; S2, whether vehicle target information exists in a foreground target is determined; and if not, the S1 is carried out again and a next frame is read; S3, shadow removing is carried out on the extracted foreground by means of a color-and-texture-based shadow detection algorithm; S4, for a target block with the shadow removed, a contour is detected by using a canny edge detection method, the contour is detected, and a minimum external rectangle of the contour is extracted, and a vehicle type is determined; and S5, the vehicle is tracked by using a kalman filter, statistics of the frame number needed by passing by the detection area by the vehicle is carried out, the vehicle type is determined further, and statistics of the traffic flow of the corresponding vehicle type is carried out.

Description

technical field [0001] The invention specifically relates to a vehicle type identification and traffic flow detection method. Background technique [0002] In recent years, with the rapid increase of the number of motor vehicles, various traffic accidents such as traffic jams have occurred frequently. In order to solve the deteriorating traffic problem, intelligent transportation system came into being. The traffic monitoring system is an important part of the intelligent transportation system, and vehicle type recognition and traffic flow detection are the basic parts of the automation of the traffic monitoring system, which provide a basis for further extraction and analysis of road traffic information and vehicle control. [0003] For the detection of moving vehicle targets in traffic videos, the current main methods are: frame difference method, optical flow method, and background difference method. Among them, the calculation of background difference is simple, and it...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/46
CPCG06V20/41G06V20/52G06V10/44G06V2201/08
Inventor 不公告发明人
Owner 南宁市正祥科技有限公司
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