计算机与现代化Issue(5)：99-103,5.DOI:10.3969/j.issn.1006-2475.2024.05.017
一种针对抖动无人机视频的运动目标检测算法
A Moving Object Detection Algorithm Aiming at Jittery Drone Videos
摘要
Abstract
To solve the problem that moving object detection is susceptible to jitter in hovering drones,leading to the generation of a significant amount of background noise and lower accuracy,a multiscale EA-KDE(MEA-KDE)background difference al-gorithm is proposed.This algorithm initially achieves a multiscale decomposition of image sequences to obtain a multiscale image sequence.Subsequently,before performing detection,the segmentation threshold for detection is calculated and updated by con-sidering the area threshold and the current image frame,thereby incorporating information from the current frame.Background difference operations using high and low dual segmentation thresholds are performed on images at different scales to enhance de-tection robustness.Finally,a top-down fusion strategy is employed to merge the detection results from various scales,preserving the clear contours of the targets while eliminating noise.Furthermore,a proposed boundary expansion fusion post-processing al-gorithm helps alleviate the fragmented targets caused by detection breaks.Experimental results demonstrate that the proposed al-gorithm effectively suppresses background noise caused by jitter.On two real drone datasets,average F1 scores of 0.951 and 0.952 were obtained,representing improvements of 0.144 and 0.276,respectively,compared to the original algorithm.关键词
机器视觉/运动目标检测/无人机视频/背景差分/高斯金字塔Key words
machine vision/motion target detection/drone video/background difference algorithm/Gaussian pyramid分类
信息技术与安全科学引用本文复制引用
刘耀鑫,陈仁喜,杨伟宏..一种针对抖动无人机视频的运动目标检测算法[J].计算机与现代化,2024,(5):99-103,5.基金项目
国家自然科学基金面上项目(41471276) （41471276）
中国科学院太空应用重点实验室开放基金资助项目(LSU-KFJJ-2018-10) （LSU-KFJJ-2018-10）
