Employing Shadows for Multi-Person Tracking Based on a Single RGB-D Camera
Employing Shadows for Multi-Person Tracking Based on a Single RGB-D Camera
复制标题
基于单个 RGB-D 相机利用阴影进行多人跟踪
DOI：
10.3390/s20041056
复制
发表时间：
2020-02-01
期刊：
影响因子：
3.9
通讯作者：
Meng, Xiangxu
中科院分区：
文献类型：
--
作者：
Gai, Wei;Qi, Meng;Meng, Xiangxu
虽然有许多算法来跟踪人的行走，现有的方法大多无法科普的设置中的一个摄像机多人跟踪的遮挡机构。在本文中，我们提出了一种方法，使用人的阴影作为线索来跟踪他们，而不是把阴影作为纯粹的噪音。我们介绍了一种新的方法来跟踪多个人通过融合阴影数据从RGB图像与骨架数据，这两个都是由一个单一的RGB深度（RGB-D）相机捕获。Skeleton跟踪提供了可以直接捕获的人的位置，而他们的阴影则用于在他们不再可见时跟踪他们。我们的实验证实，这种方法可以有效地处理完全闭塞。因此，它在解决多人跟踪中的遮挡问题方面具有重要的价值，即使使用其他类型的摄像机。
Although there are many algorithms to track people that are walking, existing methods mostly fail to cope with occluded bodies in the setting of multi-person tracking with one camera. In this paper, we propose a method to use people's shadows as a clue to track them instead of treating shadows as mere noise. We introduce a novel method to track multiple people by fusing shadow data from the RGB image with skeleton data, both of which are captured by a single RGB Depth (RGB-D) camera. Skeletal tracking provides the positions of people that can be captured directly, while their shadows are used to track them when they are no longer visible. Our experiments confirm that this method can efficiently handle full occlusions. It thus has substantial value in resolving the occlusion problem in multi-person tracking, even with other kinds of cameras.