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首页> 外文期刊>International Journal of Innovative Computing Information and Control >REAL-TIME VIDEO STABILIZATION BASED ON VIBRATION COMPENSATION BY USING FEATURE BLOCK
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REAL-TIME VIDEO STABILIZATION BASED ON VIBRATION COMPENSATION BY USING FEATURE BLOCK

机译:基于特征块基于振动补偿的实时视频稳定

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摘要

Based on feature-block (FB) basis, this paper presents a real-time video stabilization method by using motion compensation for repairing unstable frames captured by a vibrating camera. The basic strategy is first to check if the frame is vibrant and then select the feature block to calculate the vibration vector for compensating the vibration area. The feature block, which is selected from nine fixed observation blocks (FOBs), has certain features and hence can avoid interference of any moving-object intrusion. With the vibration vector, the vibration area can be compensated in order to adjust the vibrating frames to be stable. Experimental results show that the proposed algorithm can effectively stabilize the video frames with moderate vibration (smaller than 20 pixels) in real-time. Besides, a comparison with four reported methods demonstrates that the proposed video stabilization method can cope with the problem of moving-object interference and has less computation time. From the comparison, it also manifests the attractiveness of the proposed approach, when compared with other reported methods.
机译:基于特征块(FB),本文提出了一种通过运动补偿来修复振动摄像机捕获的不稳定帧的实时视频稳定方法。基本策略是首先检查框架是否充满活力,然后选择功能块以计算振动矢量以补偿振动区域。从9个固定观察块(FOB)中选择的特征块具有某些特征,因此可以避免任何移动物体入侵的干扰。利用振动矢量,可以补偿振动区域,以便将振动框架调整为稳定。实验结果表明,该算法可以有效地稳定视频帧,并具有适度的振动(小于20个像素)。此外,与四种报道的方法进行比较表明,所提出的视频稳定方法可以解决运动物体的干扰问题,并且计算时间更少。从比较中可以看出,与其他已报道的方法相比,该方法具有吸引力。

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