Detecting and tracking people in real time with RGB-D camera
Detecting and tracking people in real time with RGB-D camera
复制标题
使用 RGB-D 摄像头实时检测和跟踪人员
DOI：
10.1016/j.patrec.2014.09.013
复制
发表时间：
2015-02-01
影响因子：
5.1
通讯作者：
Chen, Yan Qiu
中科院分区：
文献类型：
--
作者：
Liu, Jun;Liu, Ye;Chen, Yan Qiu
我们提出了一种新的方法来自动检测和跟踪的人采取不同的姿态在混乱和动态的环境中使用一个单一的RGB-D相机。原始的RGB-D像素被转换成一个新的点集成图像（PEI），我们证明，人体检测和跟踪在3D空间中可以非常有效地与这种新的表示。第一阶段中的检测器快速定位人类体格上的合理候选者，然后在监督学习和分类第二阶段中进一步仔细过滤。计算颜色和高度的联合统计用于数据关联以生成被跟踪个体的最终3D运动轨迹。在公开的办公室数据集、移动的相机数据集和我们创建的真实的世界服装店数据集上获得的定性和定量实验结果显示出非常有希望的结果。(C)2014爱思唯尔有限公司版权所有。
We propose a novel approach to automatic detection and tracking of people taking different poses in cluttered and dynamic environments using a single RGB-D camera. The original RGB-D pixels are transformed to a novel point ensemble image (PEI), and we demonstrate that human detection and tracking in 3D space can be performed very effectively with this new representation. The detector in the first phase quickly locates human physiquewise plausible candidates, which are then further carefully filtered in a supervised learning and classification second phase. Joint statistics of color and height are computed for data association to generate final 3D motion trajectories of tracked individuals. Qualitative and quantitative experimental results obtained on the publicly available office dataset, mobile camera dataset and the real world clothing store dataset we created show very promising results. (C) 2014 Elsevier B.V. All rights reserved.