Real-time visually guided human figure control using IK-based motion synthesis

This paper presents a real-time human figure motion control method using color blob tracking, and human motion synthesis based on real-time inverse kinematics. Our purpose is to do seamless mapping of human motion in the real world into virtual environments. In general, virtual environment applicati...

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Bibliographic Details
Published inProceedings Fifth IEEE Workshop on Applications of Computer Vision pp. 194 - 200
Main Authors Yonemoto, S., Arita, D., Taniguchi, R.-I.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2000
Subjects
Control system synthesis
Humans
Kinematics
Man machine systems
Motion control
Motion estimation
Real time systems
Robustness
Tracking
Virtual environment
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Summary:This paper presents a real-time human figure motion control method using color blob tracking, and human motion synthesis based on real-time inverse kinematics. Our purpose is to do seamless mapping of human motion in the real world into virtual environments. In general, virtual environment applications such as man-machine 'smart' interaction require real-time human full-body motion capturing systems without special devices or markers. However, since such vision-based human motion capturing systems are essentially unstable and can only acquire partial information because of self-occlusion, we have to introduce a robust pose estimation strategy, or an appropriate human motion synthesis based on motion filtering. In this paper, we have demonstrated a real-time and online real-virtual interaction system which realizes human full-body motion capturing and synthesis.
ISBN:0769508138
9780769508139
DOI:10.1109/WACV.2000.895422