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.


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    Title :

    Utilization of stereo disparity and optical flow information for human interaction


    Contributors:
    Yoda, I. (author) / Sakane, K. (author)


    Publication date :

    1998-01-01


    Size :

    802250 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Utilization of Stereo Disparity and Optical Flow Information for Human Interaction

    Yoda, I. / Sakaue, K. / IEEE; Computer Society | British Library Conference Proceedings | 1998



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