Authors:
Xiujuan Chai
1
;
Kongqiao Wang
1
;
Luosi Wei
2
and
Hao Wang
1
Affiliations:
1
System Research Center, Nokia Research Center, China
;
2
School of Automation Science and Electrical Engineering, Beihang University, China
Keyword(s):
Wearable computing, temporal differencing, motion region, skin detection, colour histogram.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Computer Vision, Visualization and Computer Graphics
;
Human-Computer Interaction
;
Methodologies and Methods
;
Motion and Tracking
;
Motion, Tracking and Stereo Vision
;
Pattern Recognition
;
Physiological Computing Systems
Abstract:
Wearable computing is a hot research field in recent years. For the important role in wearable computing systems, hand gesture tracking attracts many researchers’ interests. This paper proposes a simple but efficient temporal differencing based hand motion tracking scheme which is used to build an augmented drumming system. In our method, the accurate motion information is gotten by a fine-coarse-fine strategy. Once getting the motion region candidates, a skin detector based on skin colour histogram is used to determine which region is our concerned hand. In the tracking procedure, motion direction constraint is also adopted in order to get a robust result. Different with the traditional skin detection for the whole image frame, combining with the motion region detection, the hand detection is no longer effected by the skin-like background. Experimental results show that our presented hand gesture tracking is robust and fast. We also adopt it into an augmented drumming system to show
the good performance and powerful potential of our method in wearable computing systems.
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