Detection method for front automobile window top right corner point

A front window, point detection technology, applied in the direction of instruments, character and pattern recognition, computer parts, etc., can solve the problem that the accuracy of the extraction position cannot meet the demand, and achieve the effect of good accuracy and improved detection rate.

Inactive Publication Date: 2014-06-11
杭州奥视图像技术有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] For the positioning algorithm of the front window, the current existing technology separates the dark window and the light window, and generally direct...

Method used

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  • Detection method for front automobile window top right corner point

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Embodiment Construction

[0039] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:

[0040] Such as figure 1 The flow chart shown is a method for detecting the upper right corner of the front window, including establishing a sample library, training the adaboost classifier, and applying the trained adaboost to locate the upper right corner of the front window, and establishing the sample library and training the adaboost classification device, including the following steps:

[0041] (1) Select a sample group, and manually calibrate the center point of the license plate and the upper right corner of the front window;

[0042] (2) Find the relationship between the center point of the license plate and the upper right corner point of the front window;

[0043] (3) Establish a sample library;

[0044] (4) Training adaboost;

[0045] The application of the trained adaboost to locate the upper right corner of the front window incl...

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Abstract

The invention relates to intelligent traffic systems, and provides a detection method for a front automobile window top right corner point. The detection method for the front automobile window top right corner point detection method comprises the steps of selecting a sample set and manually calibrating a number plate center point and the front automobile window top right corner point, looking for the relation between the number plate center point and the front automobile window top right corner point, setting a sample base, training an adaboost classifier, locating the number plate center point, locating the front automobile window top right corner point, determining a searching area, collecting a candidate area, extracting features, and introducing the trained adaboost in for classification. The front automobile window top right corner is located, and therefore position reference is provided for other detected portions; the algorithm extracts the automobile window features and puts the automobile window features into the adaboost classifier to be trained, the detection rate of an automobile window can be improved, the influence to the result by quality of the selected sample set and the features is large, and the detection method for the front automobile window top right corner point can achieve the good accuracy when good samples are selected.

Description

technical field [0001] The invention relates to an intelligent traffic system, in particular to a method for detecting a point at the upper right corner of a front window. Background technique [0002] With the development of modern economy, traffic congestion has increasingly become a problem faced by many countries in the world. The cost of road construction is high, and it is becoming more and more difficult to improve traffic capacity by means of reconstruction and expansion. The intelligent transportation system is an ideal solution to the traffic problems brought about by the current economic development. Among them, how to effectively prevent and confirm traffic violations, such as running a red light, illegally changing lanes, illegal parking, etc., and prevent further occurrences in time is imminent before us. task. [0003] Now, license plate recognition has been quite maturely applied in the field of intelligent transportation, but only relying on the license pl...

Claims

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Application Information

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IPC IPC(8): G06K9/62
Inventor 孔德兴吴法
Owner 杭州奥视图像技术有限公司
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