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Automatic traffic parameter extraction method based on image information entropy

A traffic parameter and image information technology, applied in image data processing, image analysis, traffic flow detection, etc., can solve the problems of traffic parameter extraction interference, reducing the accuracy and reliability of parameter extraction, etc.

Inactive Publication Date: 2011-05-11
PEKING UNIV SHENZHEN GRADUATE SCHOOL
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  • Summary
  • Abstract
  • Description
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AI Technical Summary

Problems solved by technology

[0013] Objective In the actual traffic scene, the shadow of moving vehicles and the change of ambient light will greatly interfere with the extraction of traffic parameters based on video, which seriously reduces the accuracy and reliability of parameter extraction.

Method used

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  • Automatic traffic parameter extraction method based on image information entropy
  • Automatic traffic parameter extraction method based on image information entropy
  • Automatic traffic parameter extraction method based on image information entropy

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Embodiment Construction

[0071] The following is a specific implementation case of the traffic parameter extraction method proposed by the present invention. This implementation case does not limit the present invention. For those of ordinary skill in the art, without departing from the principle of the present invention, some improvements and changes can also be made, and these improvements and changes should also be regarded as within the protection scope of the present invention. Inside.

[0072] This implementation case runs on an ordinary desktop computer, and the specific configuration is as follows:

[0073] CPU: Intel P4 1.7GHz

[0074] Memory: 1536M DDR333

[0075] Operating system: Windows XP Professional Edition

[0076] Operating environment: The Mathworks Matlab R2008a

[0077] Video frame rate: 15 frames per second

[0078] Video resolution: 320×240

[0079] The following is the specific process of case implementation:

[0080] ■Step 1: Read a frame of original image F from the co...

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Abstract

The invention discloses an automatic extract method for traffic parameter based on image comentropy. The method comprises the following steps: firstly, an image frame is extracted from a color video sequence and a background image is obtained by using a mixed Gaussian background modeling method; secondly, image texture information is used for pre-processing the image of a detection area; then a method for combining the image comentropy with an adaptive threshold value is used for detecting the existence of a vehicle; and finally, such three traffic parameters as vehicle numbers, traffic flow, lane occupancy ratio, space average speed and the like are calculated. As shown by the implementation result, the method solves the problem that the shadow of a moving vehicle and the change of ambient light interfere with the extraction of traffic parameters, and effectively improves the exactness of extracting traffic parameters.

Description

technical field [0001] The invention relates to a new traffic parameter extraction method. This method uses the traffic video image as the information source, and combines the image information entropy theory to extract various traffic parameters. These include: traffic flow (Traffic flow) and lane occupancy ratio (Occupancyratio), space average speed (Space mean speed). Background technique [0002] With the continuous increase of the number of motor vehicles and the continuous expansion of urban population and area, the negative impact of heavy traffic burden has become one of the main problems restricting the development of cities and economic growth in all countries in the world. Concentrated manifestations are severe traffic congestion, increased traffic accidents, huge energy consumption, and aggravated environmental pollution. [0003] In the face of various problems in the development of transportation, intelligent transportation system technology combines advanced...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/01G06T7/00
Inventor 施行王一言邹月娴
Owner PEKING UNIV SHENZHEN GRADUATE SCHOOL
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