Human Pose Recognition and tracking using RGB-D Camera

被引：0

作者：

Kahlouche, Souhila ^{[1
]}

Ouadah, Noureddine ^{[2
]}

Belhocine, Mohmoud ^{[2
]}

Boukandoura, Mhamed ^{[2
]}

机构：

[1] ESI, Ecole Natl Super Informat, Algiers, Algeria

[2] CDTA, Algiers, Algeria

来源：

PROCEEDINGS OF 2016 8TH INTERNATIONAL CONFERENCE ON MODELLING, IDENTIFICATION & CONTROL (ICMIC 2016) | 2016年

关键词：

human detection; RGB-D camera; pose recognition; service robot;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this work, we address the problem of human body pose recognition using RGB-D sensor, to perform user tracking by a mobile robot. User's skeleton joints orientations are used in this approach to compute torso joint orientation, which is necessary to distinguish the four poses: Face, Back, Right of Left. In addition, a face recognition method is used to re-identify user when lost from camera field of view. Experiments were carried out to validate proposed methods, and obtained results show that targeted user following can be achieved successfully.

引用

页码：520 / 525

页数：6

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