Title

Hand position tracking using a depth image from a RGB-d camera

DOI

https://doi.org/10.1109/ICIT.2015.7125339

Document Type

Conference Proceeding

Publication Date

1-1-2015

Publication Title

Proceedings of the IEEE International Conference on Industrial Technology

Abstract

Three algorithms for hand position tracking are presented. These algorithms work in real time, have low computational cost and only use the depth image obtained from a RGB-d camera, therefore they are light and skin color invariant. Despite the fact that there are libraries that perform hand position tracking using RGB-d cameras (Like Microsoft Kinect SDK, and PrimeSense's NITE), these libraries generally do not have their algorithms documented. The algorithms presented in this paper were developed with the purpose of providing a set of well documented algorithms so improves can be proposed. The algorithm with the best performance runs between 7.1ms and 3.4ms, with an error of 17 mm. The algorithms can be used for natural user interfaces, they have been used for the guidance of the end effector of an industrial robot; they were also used for hand segmentation which is commonly the input for full hand pose estimation.

Volume

2015-June

Issue

June

First Page

1680

Last Page

1687

Identifier

SCOPUS_ID:84937719136

Documento original

Compartir

COinS