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Vehicle tracking method based on automatic characteristic weight correction

A feature weight, vehicle tracking technology, applied in the field of image processing, can solve the problem of inaccurate comprehensive feature matching results, and achieve fast and accurate tracking and accurate target matching.

Inactive Publication Date: 2015-01-07
CHONGQING UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When the separability of a single feature among multiple features changes, if the matching is performed according to the original calculated feature weight, the matching result of the comprehensive feature may be inaccurate

Method used

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  • Vehicle tracking method based on automatic characteristic weight correction
  • Vehicle tracking method based on automatic characteristic weight correction
  • Vehicle tracking method based on automatic characteristic weight correction

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Embodiment Construction

[0049] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments, so that those skilled in the art can better understand the present invention and implement it, but the examples given are not intended to limit the present invention.

[0050] Such as figure 1 Shown is a flow chart of an embodiment of the vehicle tracking method based on feature weight self-correction in the present invention. In this embodiment, the vehicle tracking method based on feature weight self-correction includes the following steps:

[0051] Step 1: Extract vehicle foreground target

[0052] 1) Obtain a video image of the current scene, which is captured by a video camera or a camera.

[0053] 2) Select an appropriate detection area according to the movement characteristics of the vehicle, and select the road area in the expressway tunnel for the detection area.

[0054] 3) Use the background difference method or the inter-frame differ...

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Abstract

The invention discloses a vehicle tracking method based on automatic characteristic weight correction. The characteristic weight can be automatically corrected, it is ensured that the vehicle tracking can be accurate, timely and efficient, and useful data information is provided for traffic safety of an expressway tunnel. The method comprises the following steps that firstly, a foreground target of a vehicle is extracted; secondly, the characteristics of the vehicle target are extracted; thirdly, whether two targets in a front frame and a back frame belong to the same vehicle or not is judged, wherein the matching degree of the shape characteristics, the position characteristics and the color characteristics of the two targets is calculated, the comprehensive characteristic matching degree of the two targets is calculate, and whether the two targets in the front frame and the back frame belong to the same vehicle or not is judged; fourthly, the characteristic weight is automatically corrected, wherein when the comprehensive characteristic matching degree is larger than the set correction threshold value, characteristic matching degree data of the corresponding vehicle target are added into an automatically-corrected reference database, the average values of the characteristic matching degree data in a plurality of sets of reference data of the reference database are calculated, and the characteristic weight is calculated.

Description

technical field [0001] The invention belongs to the technical field of image processing, in particular to a vehicle tracking method based on feature weight self-correction. Background technique [0002] With the rapid and continuous development of expressway construction in our country, more and more expressway tunnels have been put into actual operation. Expressway tunnels can efficiently and quickly connect areas with complex traffic environments. At the same time, due to completely different traffic environments, they have become a bottleneck restricting the sustainable and healthy development of expressways. Due to the closedness of the scene and the high driving speed, once a traffic accident occurs in the tunnel, it will easily lead to secondary accidents, and even cause serious traffic accidents, seriously affecting the normal operation of the expressway. [0003] Vehicle tracking is based on vehicle detection, and establishes the continuous correspondence of the ima...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/20
CPCG06T7/20G06T2207/10016
Inventor 孙棣华赵敏刘卫宁郑林江姚明明
Owner CHONGQING UNIV
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