A moving vehicle detection method with pause state in UAV aerial video

Abstract

The invention discloses a detection method for a moving vehicle in a suspended state in an aerial video of an unmanned aerial vehicle. Firstly, a multi-stage preprocessor is used to preprocess the image, so as to filter and denoise the image and improve the unevenness of illumination in the aerial video of an unmanned aerial vehicle. The purpose of uniform characteristics, and then use the entropy rate superpixel segmentation algorithm containing superpixel regularity to extract the superpixels in the image, and the dictionary learning algorithm based on correlation and double sparsity to obtain the color, texture and geometric features of the superpixels, construct Fusing the similarity matrix for image segmentation, using the texture and geometric features of the RAG fusion area of ​​continuous multi-frame images for image matching, obtaining the motion information of the RAG fusion area, and then proposing an image foreground and background segmentation method based on the motion similarity map to realize The detection of moving vehicles in a suspended state greatly reduces the difficulty of detecting moving vehicles. The algorithm of the present invention is simple and fast, and can effectively detect moving vehicles in a suspended state in videos shot by drones.

Description

technical field [0001] The invention relates to a detection method of a moving vehicle, in particular to a detection method of a moving vehicle in a suspended state in an aerial video of an unmanned aerial vehicle. Background technique [0002] The detection of moving vehicles in UAV aerial video is an important part of the construction of intelligent transportation system, and plays an important role in promoting the traffic flow monitoring of urban road network and the construction of intelligent transportation system. Timely and accurate detection of moving vehicles is an important guarantee for subsequent vehicle tracking, license plate recognition, and vehicle information extraction. Traditional moving vehicle detection methods based on drone aerial video have some limitations, such as the inability to detect moving vehicles in a paused state, such as vehicles waiting for a red light at an intersection. The effective detection of moving vehicles with suspended state ba...

AI Technical Summary

Problems solved by technology

[0004] Most of the above algorithms are based on Haar-like, SURF, HOG, Harris corners, SIFT and other features for moving vehicle detection, the detection accuracy and robustness are low, and they are not suitable for detecting moving vehicles in UAV aerial video with pause state Happening

The pause state of the vehicle weakens the difference of vehicle motion attributes in the continuous image sequence, which greatly increases the difficulty of moving vehicle detection

At the same time, the interference caused by the pitch angle and jitter of the fuselage in the pause state may be intensified

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