Object recognition via recognition of finger pointing actions

Author

Hild, Michael ; Hashimoto, Motonobu ; Yoshida, Kazunobu

Author_Institution

Graduate Sch. of Eng., Osaka Electro-Commun. Univ., Neyagawa, Japan

fYear

2003

fDate

17-19 Sept. 2003

Firstpage

88

Lastpage

93

Abstract

We propose an object recognition method in which the identity of objects is determined by observing the finger pointing action of persons. The system determines the head and hands regions, tracks them in real time, and verifies them through an analysis of 3D data points. Then it determines the pointing direction and intersects it with an environment model. Intersection computations are based on potential field models for both the finger pointing process and the object representations.

Keywords

gesture recognition; image motion analysis; object recognition; optical tracking; stereo image processing; video signal processing; finger pointing action; hands regions; head region; intersection computation; motion pattern; object recognition; object representation; pointing direction; stereo image processing; video signal processing; Fingers; Head; Humans; Image motion analysis; Image recognition; Layout; Motion detection; Object recognition; Robustness; Shape;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Analysis and Processing, 2003.Proceedings. 12th International Conference on

Print_ISBN

0-7695-1948-2

Type

conf

DOI

10.1109/ICIAP.2003.1234031

Filename

1234031