Multi-stage 3D segmentation for ToF based gesture recognition system

Author

Simion, Georgiana ; Caleanu, Catalin-Daniel

Author_Institution

Fac. of Electron. & Telecommun., Politeh. Univ. Timisoara, Timişoara, Romania

fYear

2014

fDate

14-15 Nov. 2014

Firstpage

1

Lastpage

4

Abstract

The Human-Computer Interaction changed a lot in the last decade and it became gesture oriented. The up-to-date target is to develop smart interfaces which are free of contact. Hand is one of the favorite mean in this interaction because is a natural way in manipulating objects. This change was supported by the hardware evolution and the development of several 3D technologies. A critical step in any gesture recognition system is represented by the segmentation step. The current work proposes a new 3D segmentation method for the hand. The segmentation algorithm is based on depth information and cluster analysis. The algorithm was tested over the UPT-ToF3D-HGDB hand gesture database and it proves to be robust and fast.

Keywords

gesture recognition; human computer interaction; pattern clustering; ToF; UPT-ToF3D-HGDB hand gesture database; cluster analysis; gesture recognition system; human-computer interaction; multistage 3D segmentation; smart interfaces; time-of-flight; Cameras; Databases; Face; Gesture recognition; Image segmentation; Optical filters; Three-dimensional displays; 3D segmentation; Time-ofFlight; filtering; gesture; hand;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics and Telecommunications (ISETC), 2014 11th International Symposium on

Conference_Location

Timisoara

Print_ISBN

978-1-4799-7266-1

Type

conf

DOI

10.1109/ISETC.2014.7010800

Filename

7010800