Detection method for front automobile window top right corner point

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...

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 directly extracts the window features, and achieves the positioning effect through the window features, and the accuracy of the extracted position cannot meet the demand.

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