Vision-based sensor fusion for human-computer interaction

Author

Grange, Sébastien ; Casanova, Emilio ; Fong, Terrence ; Baur, Charles

Author_Institution

Swiss Fed. Inst. of Technol., Lausanne, Switzerland

Volume

2

fYear

2002

fDate

2002

Firstpage

1120

Abstract

This paper describes the development of efficient computer vision techniques for human-computer interaction. Our approach combines range and color information to achieve efficient, robust tracking using consumer-level computer hardware and cameras. In this paper, we present the design of the Human Oriented Tracking (HOT) library, present our initial results, and describe our current efforts to improve HOT´s performance through model-based tracking.

Keywords

computer vision; feature extraction; gesture recognition; image colour analysis; mobile robots; sensor fusion; tracking; user interfaces; color information; computer vision techniques; consumer-level computer hardware; feature extraction; gesture extraction; human oriented tracking library; human-computer interaction; mobile robot control; model-based tracking; range information; robust tracking; vision-based sensor fusion; Biological system modeling; Cameras; Computer vision; Hardware; Head; Humans; Libraries; Robot vision systems; Sensor fusion; Target tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Robots and Systems, 2002. IEEE/RSJ International Conference on

Print_ISBN

0-7803-7398-7

Type

conf

DOI

10.1109/IRDS.2002.1043881

Filename

1043881