Power transmission line large-scale construction vehicle recognition method based on BOW image representation model

Abstract

The invention discloses a power transmission line large-scale construction breakage-prevention large-scale construction vehicle recognition method based on a BOW image representation model. The method comprises the steps that median filtering is performed on a current image frame obtained by a camera; a Gaussian mixture modeling method is used for background modeling and foreground recognition; an intra-large-region texture-based method is used for eliminating shadows of a moving object; BOW model characteristics of each foreground region are extracted; the extracted characteristics are fed into a multi-classification SVM learned in advance for vehicle type recognition. According to the power transmission line large-scale construction breakage-prevention large-scale construction vehicle recognition method, the defect that other color-based methods can only detect vehicles of a certain specific color can be overcome, types of various large-scale construction vehicles can be detected, and the accuracy is high.

Description

technical field [0001] The invention belongs to the field of anti-breakage of transmission lines, and relates to a method for identifying large-scale construction vehicles of transmission lines based on a BOW image representation model. Background technique [0002] The algorithm adopted by the transmission line online monitoring device based on intelligent video analysis can be divided into two categories according to whether it recognizes the detection target: one type only detects the intrusion target and carries out unified identification, and submits the detection results to the user for manual decision-making ; The other type first detects the intrusion target, and then uses artificial intelligence, machine learning, pattern recognition and other technologies to identify and classify the intrusion target, and submits the classified results to the user. The first type of method is generally only used when there are not many moving objects in the foreground. When there a...

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Problems solved by technology

[0004] The second type of algorithm also needs to detect the moving target first, and then identify and classify the intrusion target. The difficulty lies in target recognition, that is, to judge whether the moving target is a large construction vehicle such as a crane or a cement pump truck.

In practice, when there are non-yellow cranes, the effect is poor

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