Real-time 3D model-based gesture tracking for multimedia control

Shih Yao Lin*, Yun Chien Lai, Li-Wei Chan, Yi Ping Hung

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Scopus citations

Abstract

This paper presents a new 3D model-based gesture tracking system for controlling multimedia player in an intuitive way. The motivation of this paper is to make home appliance aware of user's intention. This 3D model-based gesture tracking system adopts a Bayesian framework to track the user's 3D hand position and to recognize meaning of these postures for controlling 3D player interactively. To avoid the high dimensionality of the whole 3D upper body model, which may complicate the gesture tracking problem, our system applies a novel hierarchical tracking algorithm to improve the system performance. Moreover, this system applies multiple cues for improving the accuracy of tracking results. Based on the above idea, we have implemented a 3D hand gesture interface for controlling multimedia players. Experimental results have shown that the proposed system robustly tracks the 3D position of the hand and has high potential for controlling the multimedia player.

Original languageEnglish
Title of host publicationProceedings - 2010 20th International Conference on Pattern Recognition, ICPR 2010
Pages3822-3825
Number of pages4
DOIs
StatePublished - 18 Nov 2010
Event2010 20th International Conference on Pattern Recognition, ICPR 2010 - Istanbul, Turkey
Duration: 23 Aug 201026 Aug 2010

Publication series

NameProceedings - International Conference on Pattern Recognition
ISSN (Print)1051-4651

Conference

Conference2010 20th International Conference on Pattern Recognition, ICPR 2010
CountryTurkey
CityIstanbul
Period23/08/1026/08/10

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  • Cite this

    Lin, S. Y., Lai, Y. C., Chan, L-W., & Hung, Y. P. (2010). Real-time 3D model-based gesture tracking for multimedia control. In Proceedings - 2010 20th International Conference on Pattern Recognition, ICPR 2010 (pp. 3822-3825). [5597556] (Proceedings - International Conference on Pattern Recognition). https://doi.org/10.1109/ICPR.2010.931