NDLI: Dance posture recognition using wide-baseline orthogonal stereo cameras

Content Provider	IEEE Xplore Digital Library
Author	Feng Guo Gang Qian
Copyright Year	2006
Description	Author affiliation: Dept. of Electr. Eng. & Arts, Media & Eng. Program, Arizona State Univ., Tempe, AZ (Feng Guo; Gang Qian)
Abstract	In this paper, a robust 3D dance posture recognition system using two cameras is proposed. A pair of wide-baseline video cameras with approximately orthogonal looking directions is used to reduce pose recognition ambiguities. Silhouettes extracted from these two views are represented using Gaussian mixture models (GMM) and used as features for recognition. Relevance vector machine (RVM) is deployed for robust pose recognition. The proposed system is trained using synthesized silhouettes created using animation software and motion capture data. The experimental results on synthetic and real images illustrate that the proposed approach can recognize 3D postures effectively. In addition, the system is easy to set up without any need of precise camera calibration
Starting Page	481
Ending Page	486
File Size	544620
Page Count	6
File Format	PDF
ISBN	0769525032
DOI	10.1109/FGR.2006.35
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-04-10
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cameras Image recognition Robustness Shape Art Centralized control Lighting control Control systems Data mining Animation
Content Type	Text
Resource Type	Article

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