A moving vehicle detection method including a pause state in an aerial video of an unmanned aerial vehicle

Abstract

The invention discloses a moving vehicle detection method including a pause state in an aerial photograph video of an unmanned aerial vehicle. At first, multilevel preprocessor is used to preprocess that image, as the image is filtered and denoised, the aim of this paper is to improve the characteristics of uneven illumination in aerial video of unmanned aerial vehicles, the entropy rate superpixel segmentation algorithm with superpixel regularity is then used to extract the superpixels from the image, dictionary learning algorithm based on correlation and double sparsity obtains the color ofsuper pixel, texture, geometry, a fusion similarity matrix is constructed for image segmentation, using the texture and geometric features of the RAG fusion region of successive multi-frame images toperform image matching, the motion information of the RAG fusion region is obtained. Furthermore, an image foreground and background segmentation method based on a motion similarity map are proposed to realize the detection of a moving vehicle with a pause state, thereby greatly reducing the difficulty of detecting the moving vehicle. The algorithm of the invention is simple and quick, and can effectively detect the moving vehicle with a pause state in a video shot by an unmanned aerial vehicle.

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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