A Computer-Vision Based Gesture Recognition System
Date Issued
2009
Date
2009
Author(s)
Lai, Yun-Chien
Abstract
This paper presents a new approach to 3D model-based gesture recognition for controlling multimedia player. The motivation of this paper is to make home appliance aware of user’s intention. This 3D model-based gesture recognition system adopts a Bayesian framework to track the user’s hand posture 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 new hierarchical tracking algorithm to improve the system performance. Moreover, this system applies multiple cues for improving the accuracy of tracking results. Experimental results have shown that the proposed system tracks the hand posture robustly and has high application potential for controlling the multimedia player.
Subjects
3D human motion tracking
pose estimation
particle filtering
Type
thesis
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