Personal identification based on skeletal movement using kinect
Personal identification based on skeletal movement using kinect
复制标题
使用kinect基于骨骼运动的个人身份识别
DOI：
10.3169/itej.67.j417
复制
发表时间：
2013
期刊：
影响因子：
--
通讯作者：
Masanobu Yamamoto
中科院分区：
文献类型：
--
作者：
H. Miyajima;Masanobu Yamamoto
The Microsoft Kinect motion sensing device can capture the skeletal movement of a pedestrian. A skeleton in motion draws an orbit in high dimensional pose parameter space. The Karhunen-Loéve expansion can project this high dimensional orbit into two-dimensional eigenspace. A method is proposed to differentiate pedestrians by using their respective traces in the eigenspace. This uses the nearest neighbor rule to identify pedestrians on the basis of the cosine similarity between the traces. In our experiments, this method gave a personal identification rate of 34 pedestrians. キーワード:キネクト,歩行,個人識別,固有空間