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Road traffic flow detecting method based on road surface brightness composite mode recognition

A combined mode and road traffic technology, applied in traffic flow detection, character and pattern recognition, instruments, etc., can solve the problems of poor environmental adaptability and low detection accuracy, and achieve low cost, high detection accuracy, and long service life. Effect

Active Publication Date: 2014-07-16
SOUTH CHINA UNIV OF TECH
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The present invention aims to solve the shortcomings of low detection accuracy and poor environmental adaptability in the above-mentioned prior art. From the perspective of pattern recognition, it provides a road traffic flow detection method based on road surface brightness combined pattern recognition, wherein the parameters include flow, speed, Time occupancy rate, average headway, etc.

Method used

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  • Road traffic flow detecting method based on road surface brightness composite mode recognition
  • Road traffic flow detecting method based on road surface brightness composite mode recognition
  • Road traffic flow detecting method based on road surface brightness composite mode recognition

Examples

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Embodiment 1

[0073] Traffic parameters are collected on a two-way 4-lane road in Guangzhou. The camera is fixed on the gantry. The collected images are as follows: Figure 5 shown. There are 4 lanes from left to right in the figure, and two detection areas are set for each lane, and the distance between the two detection areas is 1.85 meters. The asphalt is laid, and the relative brightness level includes 2 levels, of which 5 sub-areas are black sub-areas and the other five are white sub-areas.

[0074] The image processing process is as follows:

[0075] Acquire and process images at a rate of 25 frames per second. For each frame of image, perform the following calculations:

[0076] Step 1: Use 5×5 smoothing filter method to remove small components in each sub-region. For pixel I[r,c] (r,c represent row and column coordinates respectively), the filtering result is:

[0077] Step 2: Calculate the average brightness of each subregion:

[0078] where a represents a sub-region contai...

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Abstract

The invention discloses a road traffic flow detecting method based on road surface brightness composite mode recognition. A condition that whether a car exists in a certain region on a road surface at a certain time is judged through matching a road surface brightness composite mode. The basic principle of the method is that a certain region on a road surface is set as a detecting region; a brightness composite mode of the road region is obtained; the condition that whether the brightness composite mode exists is analyzed in a continuous way or according to a certain time interval; if not, a condition that a subject passes the region is proved; and parameters of traffic flow, speed, occupancy rate and the like can be further obtained according to the time length when the subjects passes the region and the time differences generated when the subject passes different regions. The method can overcome the problems that the background difference method and the inter-frame difference method are low in defection accuracy and relatively poor in stability due to interferences caused by factors of shadow, brightness change and the like, so that the detection accuracy and the environment adaptation can be greatly improved.

Description

technical field [0001] The invention relates to the technical field of road traffic flow detection, in particular to a road traffic flow detection method based on road surface brightness combination pattern recognition. Background technique [0002] Intelligent Transportation System (ITS) is recognized as a powerful means to solve modern traffic problems, and traffic information collection is the technical basis for the smooth implementation of ITS. Existing traffic flow detection technologies mainly include: ultrasonic, ground sense coil, geomagnetic, pressure, infrared, video, etc. Compared with other detection technologies, the significant advantage of video technology is that it has a wealth of information, so it is possible to obtain fine-grained traffic information. In addition, video technology is more intuitive and can comprehensively record and reproduce road traffic scenes. Therefore, Many large and medium-sized cities have built large-scale video surveillance net...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/01G06K9/00
Inventor 林培群
Owner SOUTH CHINA UNIV OF TECH
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