Method and system for low-altitude ground vehicle detection and motion analysis

Abstract

The invention discloses a method and a system for low-altitude ground vehicle detection and motion analysis, in which a positive sample and a negative sample are captured in a video frame in advance. The method comprises the follow steps of: performing circuit training on a training sample according to characteristic blocks divided by the training sample to obtain a weak classifier of each regionin each cell gradient direction of the training sample; combining the weak classifiers to obtain a strong classifier corresponding to each cell; taking output values of the all the strong classifiersas feature vectors, training to obtain a support vector machine classifier, detecting the vehicle by using the support vector machine classifier, and marking an area as a vehicle area when the vehicle is detected in the area; calculating color space similarity between the vehicle area and an image area scanned by a scanning window in neighboring image frames; and comparing the space color similarity to obtain the motion trail of the same vehicle, and performing motion analysis. The method can improve accuracy rate of low-altitude ground vehicle detection, and also can improve accuracy of vehicle motion analysis.

Description

technical field [0001] The invention relates to the field of intelligent transportation, and more specifically relates to a method and system for detecting and analyzing motion of low-altitude ground-to-ground vehicles. Background technique [0002] The low-altitude ground-to-ground urban traffic monitoring system mainly uses unmanned aircraft equipped with cameras to capture urban road traffic information. The use of low-altitude ground-to-ground urban traffic monitoring systems can alleviate traffic congestion and effectively reduce traffic accidents. Therefore, the detection of moving vehicles in road traffic and their corresponding motion information under low-altitude ground-to-ground platforms has become a great concern of the research and industry circles. key technologies. [0003] Existing vehicle detection methods mainly include frame difference method, background difference method and so on. Among them, the frame difference method refers to the use of pixel-base...

AI Technical Summary

Problems solved by technology

However, this method is greatly disturbed by noise during vehicle analysis, resulting in inaccurate motion analysis

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