To attain smooth human interaction we propose a system which simultaneously utilizes the stereo disparity and optical flow information of real-time stereo gray and multi resolution images to recognize objects and gestures. For real-time calculation of the disparity and optical flow information of a stereo image the system first creates pyramid images by utilizing a Gaussian filter. The system then determines the disparity and optical flow of a low density image and extracts regions in front of a certain depth. The three foremost regions are recognized by higher order local autocorrelation features and a linear discriminant analysis. With this process the system recognizes the face and hand signs of users which are displayed foremost, and roughly recognizes movements within the region in real-time. With this framework, the system can discriminate, the face of a user, can monitor the basic movements of the user, can smoothly learn a presented object by users and can communicate with users from hand signs learned in advance.
Utilization of stereo disparity and optical flow information for human interaction
01.01.1998
802250 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Utilization of Stereo Disparity and Optical Flow Information for Human Interaction
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