Utilization of stereo disparity and optical flow information for the computer analysis of human interactions |
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Authors: | Ikushi Yoda Katsuhiko Sakaue |
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Affiliation: | (1) Intelligent Systems Institute, National Institute of Advanced Industrial Science and Technology (AISI), 1-1-1 Umezono, Tsukuba 305-8586, Japan , JP |
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Abstract: | We propose a system that simultaneously utilizes the stereo disparity and optical flow information of real-time stereo grayscale
multiresolution images for the recognition of objects and gestures in human interactions. For real-time calculation of the
disparity and optical flow information of a stereo image, the system first creates pyramid images using a Gaussian filter.
The system then determines the disparity and optical flow of a low-density image and extracts attention regions in a high-density
image. The three foremost regions are recognized using higher-order local autocorrelation features and linear discriminant
analysis. As the recognition method is view based, the system can process the face and hand recognitions simultaneously in
real time. The recognition features are independent of parallel translations, so the system can use unstable extractions from
stereo depth information. We demonstrate that the system can discriminate the users, monitor the basic movements of the user,
smoothly learn an object presented by users, and can communicate with users by hand signs learned in advance.
Received: 31 January 2000 / Accepted: 1 May 2001
Correspondence to: I. Yoda (e-mail: yoda@ieee.org, Tel.: +81-298-615941, Fax: +81-298-613313) |
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Keywords: | : Motion and stereo – Human interface – multiresolution images – Higher-order local autocorrelation features – Linear discriminant analysis |
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