计算机视觉
鉴定(生物学)
人工智能
弹道
计算机科学
背景减法
过程(计算)
数学
像素
物理
天文
植物
生物
操作系统
作者
Xiao Zhao,Yuechen Li,Chen Yang,Ruonan Wang,Hui Zhang,Jingxia Chen
摘要
A high-altitude parabolic identification technology for urban buildings is proposed, which aims at locating the parabolic position accurately and sending out warning signal in real-time to provide reference data for afterwards accountability. Firstly, the video image is preprocessed, and the color video image of the input is converted to the gray-scale video image. Secondly, the moving area is obtained by difference motion using three consecutive frames of images. Thirdly, the background subtraction model is used to obtain the complete moving object, and the complete moving object is obtained by performing OR operation with the former obtained moving object. Finally, the parabolic object is identified and the complete trajectory is obtained after further processing by using median filtering and morphological method. The parabolic coordinates correspond to the starting point is the corresponding floors. The algorithm not only can optimize the process of parabolic identification, but also remove the false identification of birds, leaves and other non-parabolic objects. The algorithm improve the accurate identification of multiple parabolic objects. The experimental results showed that the algorithm can correctly and effectively track the parabolic trajectory of urban buildings at high-altitude. It can locate the floors corresponding to the parabolic coordinates.
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