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Abstract: We have developed a real-time, view-based gesture recognition system. Optical flow is estimated and segmented into motion blobs. Gestures are recognized using a rule-based technique based on characteristics of the motion blobs such as relative motion and size. Parameters of the gesture (e.g., frequency) are then estimated using context specific techniques. The system has been applied to create an interactive environment for children. 1 Introduction For many applications, the use of hand and... (Update)
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BibTeX entry: (Update)
R. Cutler and M. Turk, "View-based interpretation of real-time optical flow for gesture recognition," Proc. Third IEEE Conference on Face and Gesture Recognition, Nara, Japan, April 1998. http://citeseer.ist.psu.edu/cutler98viewbased.html More
@misc{ cutler98viewbased,
author = "R. Cutler and M. Turk",
title = "View-based interpretation of real-time optical flow for gesture recognition",
text = "R. Cutler and M. Turk, View-based interpretation of real-time optical flow
for gesture recognition, Proc. Third IEEE Conference on Face and Gesture
Recognition, Nara, Japan, April 1998.",
year = "1998",
url = "citeseer.ist.psu.edu/cutler98viewbased.html" }
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4 efficiency trade-offs in optical flow algorithms (context) - Liu, Hong et al. - 1996
2 feedback and training system for t'ai chi gestures (context) - Becker, recognition - 1997
2 MIT Media Lab Perceptual Computer Section (context) - Wilson, Bobick et al. - 1997
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