Identification accuracy and speed are important factors in automatic person identification systems. In this paper, we propose a feature extraction method to extract brain wave features from different brain rhythms of electroencephalography (EEG) signal for the purpose of fast, yet accurate person identification. The proposed feature extraction method is based on the fact that EEG signal is comp...

Most of the person authentication system lacks perfection due to face poses and illumination variation. One more problem in person authentication is the selection of source for feature generation. In this work, videos have been recorded with variations in poses. The videos have been taken in normal office lighting condition. Videos of persons are taken in three situations. First when faces are ...

This article examines three hypotheses suggested by the concept of a prototype. The first hypothesis is that an observer's impression of a target person depends on the number of prototypic features present in the stimulus description. Study 1 showed that a target person was judged to be more depressed if the case description contained many features of the prototype of a depressed person. The se...

SUMMARY This report details the work carried out between the months of October 1996 and June 1997, and the results so far achieved. Numerous speech and person recognition experiments have been performed using both speech and visual lip features. The discriminatory properties of audio and visual features are examined, along with the performance of two classiiers, namely VQ and DTW. The eeect of ...

Gait has been shown to be an effective feature for person recognition and could be well suited for the problem of multi-frame person re-identification (Re-ID). However, person Re-ID poses very unique set of challenges, with changes in view angles and environments across cameras. Thus, the feature needs to be highly discriminative as well as robust to drastic variations to be effective for Re-ID...

An approach for person identification is described based on spatio-temporal analysis of the talking face. A person is represented by a parametric model of the visible speech articulators and their temporal characteristics during speech production. The model consists of shape parameters, representing the lip contour and intensity parameters representing the grey level distribution in the mouth r...

The recent developments in agent-based modeling of several N-person games are reviewed and some features of the author’s software tools as well as some applications are described. After explaining the transition from two-person to N-person games, the classification and properties of N-person games, our software tools, and agent personalities, the following N-person games are considered: prisone...

We present a prototype video tracking and person categorization system that uses face and person soft biometric features to tag people while tracking them in multiple camera views. Our approach takes advantage of temporal aspect of video by extracting and accumulating feasible soft biometric features for each person in every frame to build a dynamic soft biometric feature list for each tracked ...