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This paper presents a new method for tracking multiple persons in a room by a stereo camera. If the ceilling of a building is not high enough, the camera needs to be located at low height. This camera location causes the problem of the significant view changes of the person in the image and each person consecutively occludes the other. We propose a method that projects the 3D variable voxels onto the floor, and tracks their peaks in order to ignore the view changes. The voxels vary along with the distance from the camera, so as not to be influenced by the stereo measurement accuracy. In addition we define repulsive forces between trackers to avoid collisions each other. The experimental results using real images show that our method is effective for the above camera location.

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Abstract.A method of person authentication based on matching scores with the fingerprint data of others is proposed. Fingerprint data of others is prepared in advance as a set of representative data. Input fingerprint data is verified against the representative data, and the person belonging to the fingerprint is confirmed from the set of matching scores. The set of scores can be thought of as a feature vector, and is compared with the feature vector already enrolled. In this paper, the mechanism of the proposed method, the person authentication system using this method are described, and its advantage. Moreover, the simple criterion and selection method of the representative data are discussed. The basic performance when general techniques are used for the classifier is FNMR-3.6% at FMR-0.1%.