High-altitude parabolic object detection method and system based on semantic segmentation

Abstract

The invention provides a high-altitude parabolic object detection method and system based on semantic segmentation, and the method comprises the steps: training a lightweight semantic segmentation network through knowledge distillation in advance, taking a camera-shake-free frame from a monitoring video, inputting the camera-shake-free frame into the semantic segmentation network, and extracting a building region as a candidate region for high-altitude parabolic object detection; taking a plurality of camera-shake-free frames, carrying out binarization processing, and then carrying out background modeling by using a Gaussian mixture model to obtain a background image of a current scene; carrying out camera shake judgment on the current frame image to be detected, and if the camera does not shake, carrying out motion detection on the current frame image in the building area by utilizing the background and using a background difference method to obtain a moving object; de-noising processing is carried out on the obtained moving object; and performing target tracking on the de-noised candidate object by using a Hungary algorithm, if the tracking can be successful, judging a tracking trajectory, and if the tracking trajectory conforms to the trajectory of the high-altitude parabolic object, considering the high-altitude parabolic object as the high-altitude parabolic object, and further obtaining the throwing position and the drop point position of the high-altitude parabolic object.

Description

technical field [0001] The invention relates to deep learning-based semantic segmentation, trajectory-based target recognition, and moving target detection and tracking, and can effectively deal with the three difficult problems of small targets, poor timeliness and complex scenes in high-altitude parabolic detection. Background technique [0002] The high-altitude parabolic is called "the pain hanging over the city". In the "Urban Bad Habits Ranking List", it ranks second with "Littering". Parabolic throwing at high altitude is an uncivilized behavior and will bring great social harm. In November 2019, the Supreme People's Court issued the "Opinions on the Proper Trial of Cases of Throwing and Falling Objects in accordance with the Law", which clarified that those who intentionally throw objects at heights should be dealt with according to the specific circumstances. However, after the high-altitude parabolic incident, it was difficult to determine the floor of the parabo...

AI Technical Summary

Problems solved by technology

However, deep learning-based methods have many shortcomings

Such as poor generalization ability, poor performance in untrained scenarios, and significantly reduced performance; compared with unsupervised methods, methods based on deep learning lack sufficient theoretical guarantees and poor interpretability; a large number of priors need to be collected data, but the data collection of high-altitude parabola is difficult

[0012] The existing high-altitude parabolic method and system have disadvantages such as poor anti-interference ability, difficult application in complex scenes, difficult detection of small targets, and difficulty in tracking objects.

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