We propose an approach to capture subjective first-person view (FPV) videos by drones for automated cinematography. FPV shots are intentionally not smooth to increase the level of immersion for the audience, and are usually captured by a walking camera operator holding traditional camera equipment. Our goal is to automatically control a drone in such a way that it imitates the motion dynamics of a walking camera operator, and, in turn, capture FPV videos. For this, given a user-defined camera path, orientation, and velocity, we first present a method to automatically generate the operator’s motion pattern and the associated motion of the camera, considering the damping mechanism of the camera equipment. Second, we propose a general computational approach that generates the drone commands to imitate the desired motion pattern. We express this task as a constrained optimization problem, where we aim to fulfill high-level user-defined goals, while imitating the dynamics of the walking camera operator and taking the drone’s physical constraints into account. Our approach is fully automatic, runs in real time, and is interactive, which provides artistic freedom in designing shots. It does not require a motion capture system, and works both indoors and outdoors. The validity of our approach has been confirmed via quantitative and qualitative evaluations.

中文翻译：

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使用无人机捕捉主观的第一人称视角镜头以进行自动电影摄影

我们提出了一种通过无人机捕捉主观第一人称视角 (FPV) 视频的方法，用于自动摄影。FPV 镜头故意不流畅以增加观众的沉浸感，并且通常由手持传统摄像机设备的行走摄像机操作员捕获。我们的目标是自动控制无人机，使其模仿步行摄像机操作员的运动动态，进而捕捉 FPV 视频。为此，在给定用户定义的相机路径、方向和速度的情况下，我们首先提出了一种自动生成操作员运动模式和相机相关运动的方法，同时考虑到相机设备的阻尼机制。其次，我们提出了一种通用的计算方法，可以生成无人机命令来模仿所需的运动模式。我们将此任务表达为一个受约束的优化问题，我们的目标是实现高级用户定义的目标，同时模仿步行相机操作员的动态并考虑无人机的物理约束。我们的方法是全自动的、实时运行的并且是交互式的，这为设计镜头提供了艺术自由。它不需要动作捕捉系统，可在室内和室外工作。我们的方法的有效性已通过定量和定性评估得到证实。这为设计镜头提供了艺术自由。它不需要动作捕捉系统，可在室内和室外工作。我们的方法的有效性已通过定量和定性评估得到证实。这为设计镜头提供了艺术自由。它不需要动作捕捉系统，可在室内和室外工作。我们的方法的有效性已通过定量和定性评估得到证实。