Pfinder: Real-Time Tracking of the Human Body
IEEE Transactions on Pattern Analysis and Machine Intelligence
3D Pose Estimation by Directly Matching Polyhedral Models to Gray Value Gradients
International Journal of Computer Vision
Retargetting motion to new characters
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
ICONDENSATION: Unifying Low-Level and High-Level Tracking in a Stochastic Framework
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Extraction and Classification of Visual Motion Patterns for Hand Gesture Recognition
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Incremental Tracking of Human Actions from Multiple Views
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Dynamic Models of Human Motion
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Human Body Postures from Trinocular Camera Images
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
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Many methods for measuring human motion have been proposed because they can be applied to various fields such as CG animation, virtual reality, and gesture recognition. This paper proposes a method for gesture and posture estimation which uses locally linear regression. We extract face and hand regions from stereo input images, and estimate their 3D positions by stereo matching. Performed gestures are estimated by hand position and velocity, and human posture is also estimated by using locally linear regression.