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机载视频空中目标实时优化稳像算法

Real-Time Image Stabilization Algorithm for Airborne Video
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摘要 针对机载飞机视频摄取与监视中,由于背景稀疏和前景的大幅度快速运动,造成实时稳像算法存在的画面不稳定的问题,提出了自适应Shi-Tomasi机载视频空中目标实时优化稳像算法。根据提取特征点分布自适应地改变Shi-Tomasi角点检测阈值,解决单一阈值不能适应空中复杂稀疏背景特征点提取的问题。构建带约束的实时优化算法,计算平滑的视频路径,解决基于滤波的算法缺少约束导致画面偏移过大的问题。比对实验结果表明,自适应Shi-Tomasi优化稳像算法能够应对各类机载稀疏背景视频的稳像,解决了快速运动目标稳像后画面大幅偏移的问题,稳定性提高,速度达到20 frame/s以上,满足实时处理需求。 To solve the problem of image instability in real-time image stabilization algorithm due to the sparse back-ground and rapid movement of foreground in airborne video intake and monitoring,an adaptive Shi-Tomasi real-time opti-mization image stabilization algorithm for airborne target in airborne video is proposed.Firstly,the Shi-Tomasi corner detec-tion threshold is adaptively changed according to the distribution of extracted feature points to solve the problem that a single threshold cannot adapt to the extraction of feature points from complex and sparse background in the air.Then a real time optimization algorithm with constraints is constructed to calculate a smooth video path and deal with excessive image offset caused by the lack of constraints in the filtering algorithm.The comparative experimental results show that the adap-tive Shi-Tomasi optimized image stabilization algorithm can cope with the image stabilization of various airborne sparse background videos,and solve the problem of large image offset after image stabilization of fast-moving targets.With improved stability,the speed can reach more than 20 frame/s,which meets the real-time processing requirements.
作者 刘玉清 刘成 敖雪聪 LIU Yuqing;LIU Cheng;AO Xuecong(Key Laboratory of Electronics and Information Technology for Space Systems,National Space Science Center,Chinese Academy of Sciences,Beijing 100190,China;School of Computer Science and Technology,University of Chinese Academy of Sciences,Beijing 100049,China)
出处 《计算机工程与应用》 CSCD 北大核心 2022年第20期212-219,共8页 Computer Engineering and Applications
关键词 机载视频 复杂稀疏背景 运动目标 自适应角点检测 实时优化 airborne video complex sparse background moving object adaptive corner detection real time optimization
作者简介 刘玉清(1996-),女,硕士研究生,研究方向为图像处理、视频稳像、视频超分辨;通信作者:刘成(1980-),男,博士,副研究员,研究方向为探空火箭总体设计、空间智能信息处理,E-mail:liucheng@nssc.ac.cn。
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