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Multilane traffic volume detection method based on image information entropy

An image information, multi-lane technology, applied in the field of multi-lane traffic flow detection based on image information entropy, can solve the problem of sensitivity to changes in light or weather conditions, and achieve high accuracy, eliminate vehicle missed detection, and strong robustness Effect

Inactive Publication Date: 2011-02-02
任雪梅 +5
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  • Summary
  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0015] The invention provides a traffic flow detection algorithm to solve the defect that the existing method is sensitive to changes in illumination or weather conditions, and realizes multi-lane traffic flow detection

Method used

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  • Multilane traffic volume detection method based on image information entropy
  • Multilane traffic volume detection method based on image information entropy
  • Multilane traffic volume detection method based on image information entropy

Examples

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Embodiment Construction

[0049] An example system for multi-lane traffic flow detection based on image information entropy figure 1 As shown, the system includes a camera, an image acquisition card, a detection algorithm processor and a traffic flow result display, etc. Set up the camera above the road area where traffic statistics need to be performed, and adjust the camera so that the camera field of view can cover the entire detection road surface. Connect the image acquisition card installed in the detection algorithm processor with the output of the camera through a coaxial cable, and use the image information entropy-based multi-lane traffic flow detection software installed in the detection algorithm processor to monitor the traffic flow of multiple lanes in real time Detect and display the results of traffic flow.

[0050] The implementation process is described below with an example system:

[0051] (1) Image acquisition

[0052] First, the analog image signal collected by the camera is tran...

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Abstract

The invention relates to a multilane traffic volume detection method based on image information entropy, wherein the multilane traffic volume is counted by using the image information entropy. The method comprises the following steps: (1) collecting video: obtaining the multilane traffic information image information; (2) automatically obtaining a detection frame: obtaining a detection frame via image division and Hough conversion and combining an end point after preprocessing images; (3) counting the image information entropy value of each trapezoid lane detection frame in real time; (4) confirming whether vehicles pass through the lane by comparing the image information entropy value of the lane detection frame with the self-adaptive threshold of the lane; and (5) counting the vehicle passing information of all lanes to obtain the traffic volume of the whole road. The method has favorable instantaneity and accuracy and can effectively eliminate the adverse effect to the detection result by illumination and weather, and thus have favorable robustness when the condition of illumination and weather varies.

Description

technical field [0001] The invention relates to traffic flow detection using video in intelligent transportation, in particular to a multi-lane traffic flow detection method based on image information entropy. Background technique [0002] Traffic information collection and detection based on video technology, as an important part of intelligent transportation system, has become an important topic in the application of computer vision technology. The video-based road traffic monitoring system has the characteristics of direct combination with the existing traffic monitoring system, large detection range, flexible installation and use, and low maintenance cost, and has broad application prospects. [0003] At present, the commonly used video-based traffic detection methods mainly include: [0004] 1. Background difference detection method [0005] The background difference detection method is one of the most commonly used methods for moving target detection. During detecti...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/065G08G1/04G06T7/20
Inventor 任雪梅王武宏黄鸿罗阳张兴华黄堉
Owner 任雪梅
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