Pfinder: Real-Time Tracking of the Human Body
IEEE Transactions on Pattern Analysis and Machine Intelligence
Visual Interpretation of Hand Gestures for Human-Computer Interaction: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
The visual analysis of human movement: a survey
Computer Vision and Image Understanding
An HMM-Based Threshold Model Approach for Gesture Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robot Vision
A New Robust Real-Time Method for Extracting Human Silhouettes from Color Images
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Color-Based Hands Tracking System for Sign Language Recognition
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Locating Facial Region of a Head-and-Shoulders Color Image
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
View-Based Interpretation of Real-Time Optical Flow for Gesture Recognition
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Real Time Gesture Recognition Using Eigenspace from Multi Input Image Sequence
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Gesture Recognition Using HLAC Features of PARCOR Images and HMM Based Recognizer
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Tracking Hand Dynamics in Unconstrained Environments
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
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We describe a real-time stereo camera system for tracking a human handfrom a sequence of images and measuring the three dimensional trajectories of the handmo vement. We incorporate three kinds of constraints into our tracking technique to put restrictions on the search area of targets and their relative positions in each image. The restrictions on the search area are imposedb y continuity of the handlo cations, use of skin color segmentation, andepip olar constraint between two views. Thus, we can reduce the computational complexity and obtain accurate three-dimensional trajectories. This paper presents a stereo tracking technique andexp erimental results to show the performance of the proposed method.