The invention provides an artificial intelligence-based jelly effect prevention method and system in an aerial photography scene, and relates to the field of artificial intelligence. The method comprises the steps that a rolling shutter camera collects an image; optical flow information of the image is obtained through an optical flow method, and moving pixel points and static pixel points in the image are obtained according to the optical flow information of the image and the flight speed of the unmanned aerial vehicle; the method also includes obtaining a jelly effect index according to the optical flow information of the static pixel points as a label of a time sequence prediction network to train the time sequence prediction network; inputting the flight speed of the unmanned aerial vehicle, the shutter time of the camera and the reading of the IMU into a time sequence prediction network to predict a jelly effect index of a future frame image; and constructing dynamic characteristics of the image, and determining an adjustment mode and timely adjusting related parameters of the unmanned aerial vehicle according to a jelly effect index obtained by the time sequence prediction network and the dynamic characteristics of the current frame. According to the invention, quality prediction of the shot image is realized, parameters of the unmanned aerial vehicle are adjusted in time to prevent a jelly effect, and high-quality images are acquired.

    本发明提供一种基于人工智能的航拍场景下果冻效应预防方法及系统,涉及人工智能领域;该方法包括卷帘快门相机采集图像;利用光流法获得图像的光流信息,根据图像光流信息和无人机飞行速度得到图像中运动像素点和静止像素点;根据静止像素点的光流信息得到果冻效应指标作为时序预测网络的标签训练时序预测网络;将无人机的飞行速度、相机的快门时间以及IMU的读数输入时序预测网络预测未来帧图像的果冻效应指标;构建图像的动态特征,根据时序预测网络得到的果冻效应指标和当前帧的动态特征,确定调整模式及时调整无人机相关参数。本发明实现了拍摄图像的质量预测,及时调整无人机参数预防果冻效应,确保采集到高质量图片。


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    An artificial intelligence-based jelly effect prevention method and system in an aerial photography scene


    Weitere Titelangaben:

    一种基于人工智能的航拍场景下果冻效应预防方法及系统


    Beteiligte:
    HUANG HAIYUAN (Autor:in) / SANG LANQI (Autor:in) / SUN JUN (Autor:in)

    Erscheinungsdatum :

    2021-06-08


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    G06K Erkennen von Daten , RECOGNITION OF DATA / B64C AEROPLANES , Flugzeuge / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G06T Bilddatenverarbeitung oder Bilddatenerzeugung allgemein , IMAGE DATA PROCESSING OR GENERATION, IN GENERAL



    Unmanned aerial vehicle turning jelly effect processing method and system based on artificial intelligence

    ZHANG CHENGNUO / QIAN SIYU | Europäisches Patentamt | 2021

    Freier Zugriff

    AERIAL PHOTOGRAPHY SYSTEM, AERIAL PHOTOGRAPHY METHOD, AND AERIAL PHOTOGRAPHY PROGRAM

    MIURA NOZOMU | Europäisches Patentamt | 2024

    Freier Zugriff



    Road traffic accident scene detection and mapping system based on aerial photography

    Feng-Hui, Wang / Ling-Yi, Li / Yong-Tao, Liu et al. | Taylor & Francis Verlag | 2021