This study presents a technique to automatically extract the aircraft from video sequences. The technique incorporates object tracking algorithm to separate the region of interest (ROI), i.e. movement of aircraft, from video sequence, to reduce the computational complexity. Trimaps are generated automatically for given ROI using non-rigid image registration to obtain the prior information of the object and alpha mattes are estimated for each frame using KNN matting algorithm. However, the alpha matte of static region is estimated only once, that is combined with the alpha matte of moving region to generate final alpha matte. Simulations performed on different videos show that the proposed technique not only reduces the computational complexity, but also gives competitive results by generating high quality alpha maps.

中文翻译：

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使用视频消光和帧配准自动提取飞机

这项研究提出了一种从视频序列中自动提取飞机的 技术。该技术结合了对象跟踪算法，可将感兴趣区域（ROI）（即飞机的运动）与视频序列分开，以降低计算复杂度。使用非刚性图像配准自动为给定的ROI生成Trimap，以获取对象的先验信息，并使用KNN消光算法为每个帧估计alpha遮罩。但是，静态区域的alpha遮罩仅估算一次，将其与移动区域的alpha遮罩相结合以生成最终的alpha遮罩。在不同视频上进行的仿真表明，所提出的技术不仅降低了计算复杂度，而且还通过生成高质量的alpha贴图而提供了具有竞争力的结果。