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Diver detection by motion-segmentation and shape-analysis from a moving vehicle

机译:通过运动分段和形状分析从移动的车辆中检测潜水员

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The operation of Autonomous Underwater Vehicles (AUV) in scenarios where also human divers are working, e.g., during archaeological missions or during inspection and service tasks, bears an interesting application potential. But according scenarios also require the detection of the divers for at least safety reasons. Diver detection is also of interest for other applications, e.g., within the context of harbor security scenarios. In this paper, an approach for diver detection with a monocular camera on a moving vehicle is presented. The main challenge is the motion compensation in the video stream, which is achieved here by a spectral registration method in form of the improved Fourier Mellin Invariant (iFMI) registration.
机译:在人类潜水员也在工作的情况下,例如在考古任务期间或在检查和服务任务期间,自主水下航行器(AUV)的操作具有有趣的应用潜力。但是根据至少至少出于安全原因,根据方案还需要对潜水员进行检测。潜水员检测对于例如在港口安全场景的情况下的其他应用也是令人感兴趣的。在本文中,提出了一种在移动车辆上用单眼相机进行潜水员检测的方法。主要挑战是视频流中的运动补偿,这在这里是通过频谱配准方法以改进的傅立叶梅林不变量(iFMI)配准的形式实现的。

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