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Implementation of Image Registration Algorithms for Real-time Target Tracking Through Video Sequences

机译:通过视频序列进行实时目标跟踪的图像配准算法的实现

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"Automatic detection and tracking of interesting targets from a sequence of images obtained from a reconnaissance platform is an interesting area of research for defence-related applications. Image registration is the basic step used in target tracking application. The paper briefly reviews some of the image registration algorithms, analyse their performance using a suitable image processing hardware, and selects the most suitable algorithm for a real-time target tracking application using cubic-spline model and spline model Kalman filter for the prediction of an occluded target. The algorithms developed are implemented in a ground-based image exploitation system (GIES) developed at the Aeronautical Development Establishment for unmanned aerial vehicle application, and the results presented for the images obtained during actual flight trial.
机译:“从侦察平台获得的一系列图像中自动检测并跟踪感兴趣的目标是国防相关应用研究的一个有趣领域。图像配准是目标跟踪应用中使用的基本步骤。本文简要回顾了一些图像配准算法,使用合适的图像处理硬件分析其性能,并使用三次样条模型和样条模型卡尔曼滤波器为实时目标跟踪应用选择最合适的算法,以对被遮挡的目标进行预测。在航空发展公司开发的一种用于无人机应用的地基图像开发系统(GIES)中,结果显示了在实际飞行试验中获得的图像。

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