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Traffic flow information perception method based on contour and local characteristic point and system thereof

A local feature and information perception technology, applied in the field of traffic information flow perception, can solve the problems of inability to adapt to complex and changeable scenes, low detection accuracy, etc., to achieve the effect of convenient use and improved execution efficiency

Inactive Publication Date: 2012-04-25
SOUTHEAST UNIV
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these methods cannot adapt to complex and changeable scenes, and the detection accuracy is not high

Method used

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  • Traffic flow information perception method based on contour and local characteristic point and system thereof
  • Traffic flow information perception method based on contour and local characteristic point and system thereof
  • Traffic flow information perception method based on contour and local characteristic point and system thereof

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Embodiment Construction

[0033] Such as figure 1 As shown, the traffic flow information perception method based on contour and local feature points includes the following steps:

[0034] Remotely configure the system parameters of the traffic flow information perception system, including the region of interest ROI for video analysis and the conversion relationship F between the pixel distance on the video image and the spatial distance on the actual road;

[0035] Perform inter-frame difference operation on the video signal, binarize the inter-frame difference image, and then perform morphological filtering, and locate the position of each vehicle on this basis;

[0036] According to the location information of the vehicle, each vehicle is tracked separately, and the state storage structure Memory is designed to record the dynamic state of each vehicle;

[0037] Evaluate the tracking results;

[0038] According to the evaluation result, if the tracking result is not good enough, extract the feature ...

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PUM

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Abstract

The invention, which belongs to the intelligent transport field, discloses a traffic flow information perception method based on a contour and a local characteristic point and a system thereof. In the invention, through remote control, a parameter of an analytic algorithm can be configured. According to a concrete scene, the various kinds of parameters of the analytic algorithm can be set or adjusted at any time, which gives great convenience to use a traffic flow information perception apparatus. In the invention, for tracking a vehicle, rough tracking based on contour information and evaluation are used, and the tracking based on the local characteristic point is selectively performed. A tracking strategy, which is from coarse to minute, can be adaptive to the different traffic scenes and an execution efficiency is high. The traffic flow information perception method and the apparatus in the invention can be directly used in an intelligent transport system (ITS).

Description

technical field [0001] The invention belongs to the field of intelligent transportation, and relates to a traffic information flow perception technology based on remote control and video image signals, in particular to a traffic information flow perception method based on positioning and tracking of an image target contour area and tracking of target local feature points and system. Background technique [0002] With the rapid development of the national economy, the number of mobile vehicles in the country is increasing day by day, and the transportation system is also facing great pressure. In this context, intelligent transportation systems have developed rapidly in recent years, especially in expressway systems. The Intelligent Transport System (ITS for short) is a system established by effectively integrating information technology, data communication transmission technology, electronic sensing technology, electronic control technology and computer processing technolog...

Claims

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Application Information

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IPC IPC(8): G08G1/01G06K9/00
Inventor 王桥李平陆巍丁小羽娄蔓睿黄凯明陈硕刘小虎何佩君
Owner SOUTHEAST UNIV
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