Classifier integration-based concrete mixer truck mixing tank steering detection and tracking method

Abstract

The invention designs a classifier integration-based concrete mixer truck mixing tank steering detection and tracking method. The invention relates to the fields of image processing, target detectionand target tracking. According to the method, an operation video stream of a stirring barrel is detected and tracked, according to inherent characteristics of the stirring barrel, three detection algorithms of straight line detection, angular point detection and contour detection are used for detecting characteristics of the stirring barrel, and the characteristics and characteristic center pointsof the stirring barrel are marked; displacement of a central point in a sequence image is used to judge the running direction of the stirring barrel, the tracking accuracy is difficult to guarantee;based on this, a prediction method is added. A relatively reliable tracking result is provided by calculating a predicted value, each detection algorithm can be regarded as a base classifier in tracking, an integration idea is cited, and the base classifier integrates the tracking result of the base classifier through a simple majority voting method or a weighted voting method, so that the tracking efficiency and precision of a traditional method are better improved.

Description

technical field [0001] The invention relates to the fields of image processing, target detection and target tracking, and specifically designs a method for detecting and tracking the steering of a mixing bucket of a concrete mixer truck based on classifier integration. Background technique [0002] Traditional image detection and tracking algorithms usually use a single classifier for detection and tracking. However, the collected video data is easily disturbed by external factors such as light and sludge, and different classifiers have different sensitivities to different interferences. Under these interference factors, a single classifier often gives wrong judgment results due to these interferences, and the accuracy and reliability are difficult to guarantee, which has a great impact on practical applications such as detection and tracking. [0003] In the process of actually researching and analyzing machine learning-related content and issues, integrated learning is one...

AI Technical Summary

Problems solved by technology

It is used to solve the problems of unreliable detection and tracking of the steering of the mixing drum of the concrete mixer truck by the traditional framework in the industry, low precision, and low efficiency of real-time monitoring. Detection and contour detection, track the feature center points extracted by these three detection algorithms, and propose a prediction method that can improve the tracking accuracy, optimize the tracking results, and finally use the simple majority voting method or weighted voting method to integrate, Finally, it is built into an integrated classifier to calculate more reliable tracking results

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