Hand Shape Extraction and Understanding by Virtue of Multiple Cues Fusion Technology

Authors:
Xueyin Lin;Xiaoping Zhang;Haibing Ren
Affiliations:
-;-;-
Venue:
ICMI '00 Proceedings of the Third International Conference on Advances in Multimodal Interfaces
Year:
2000

Citing 2
Cited 0

View-Based Interpretation of Real-Time Optical Flow for Gesture Recognition

FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Hand Gesture Estimation and Model Refinement Using Monocular Camera - Ambiguity Limitation by Inequality Constraints

FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition

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Abstract

In order that information included in the hand shape can be extracted for gesture communication aiming to the new technology of Human Computer Interaction, hand shape should be reliably extracted based on image sequences. In this paper a hand shape extraction approach is proposed. By using multiple cues such as motion and color information, embedded in image sequences, a set of complicated hand shapes which compromise a small dictionary of hand postures, can be reliably extracted within a rather sophisticated environment, In this paper the proposed shape extraction strategy is addressed and preliminary results are indicated to prove its effectiveness.