Abstract
Aerial videos taken by a drone not too far above the surface may contain the drone's shadow projected on the scene. This deteriorates the aesthetic quality of videos. With the presence of other shadows, shadow removal cannot be directly applied, and the shadow of the drone must be tracked. Tracking a drone's shadow in a video is, however, challenging. The varying size, shape, change of orientation and drone altitude pose difficulties. The shadow can also easily disappear over dark areas. However, a shadow has specific properties that can be leveraged, besides its geometric shape. In this paper, we incorporate knowledge of the shadow's physical properties, in the form of shadow detection masks, into a correlation-based tracking algorithm. We capture a test set of aerial videos taken with different settings and compare our results to those of a state-of-the-art tracking algorithm.
Abstract (translated)
无人机在离地面不远的地方拍摄的空中视频可能包含了无人机投射在现场的阴影。这会降低视频的美学质量。在存在其他阴影的情况下，无法直接应用阴影消除，必须跟踪无人机的阴影。然而，在视频中跟踪无人机的影子是一项挑战。大小、形状、方向和无人机高度的变化都会造成困难。阴影也很容易在黑暗区域消失。然而，阴影除了其几何形状外，还具有可利用的特定属性。在本文中，我们将阴影物理性质的知识，以阴影检测遮罩的形式，结合到一种基于相关的跟踪算法中。我们拍摄了一组不同设置的航空视频，并将结果与最先进的跟踪算法进行了比较。
URL
https://arxiv.org/abs/1905.08214
