Moving object classification method

Abstract

The invention discloses a moving object classification method, which comprises the steps of extracting multiple groups of vehicle images through a traffic monitoring system, acquiring features of one group of the vehicle images by learning through adopting a sparse coding algorithm, performing secondary selection on the image features by adopting a feature selection algorithm, carrying out feature extraction and screening on the vehicle images extracted from a traffic management system according to the selected features, and finally regarding the vehicle features as input features of a classifier for classifying vehicles. The moving object classification method provides efficient solutions for a visual collision problem and a vehicle classification problem in the traffic video monitoring system respectively: with regard to the visual collision problem, feature vectors and area of gaps between the vehicles are defined, so that the visual collision problem is converted into a simple optimization problem to be solved; and with regard to the vehicle classification problem, the features of the images are obtained by learning through adopting the sparse coding algorithm, and the features are subjected to secondary selection.

Description

technical field [0001] The invention relates to a method for classifying objects, in particular to a method for classifying moving objects. Background technique [0002] In a road monitoring system equipped with a fixed-angle camera, it is necessary to accurately classify vehicles in order to monitor and maintain the road, and to determine the type of vehicle for identification and technology of the vehicle; however, the traditional classification method The classification accuracy is low, and the segmentation efficiency of the vehicle block that has a visual collision is low, and when the feature classification is performed, some invalid features are also classified, the efficiency is low, and the classification accuracy rate is reduced. Contents of the invention [0003] The object of the present invention is to provide a method for classifying moving objects in order to solve the above problems. [0004] The present invention achieves the above object through the follo...

AI Technical Summary

Problems solved by technology

[0002] In a road monitoring system equipped with a fixed-angle camera, it is necessary to accurately classify vehicles in order to monitor and maintain the road, and to determine the type of vehicle for identification and technology of the vehicle; however, the traditional classification method The classification accuracy is low, and the segmentation efficiency of the vehicle block that has a visual collision is low, and when performing feature classification, some invalid features are also classified, the efficiency is low, and the classification accuracy rate is reduced

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