People identification using kinect sensor

Abstract

In this work, we address a problem of people identification. People identification is an important feature in various application like using in banks, airports, border crossings etc. For purpose of people identification today are used different methods such as face recognition, fingerprint, scanning of eye retina, voice recognition etc. The most of these methods require interaction with people while one method, people gait recognition, can be proceeding even without awareness of people who is in process of identification. Because of that, people gait recognition is interesting field in identification process and biometrical techniques. Our approach for this imply using Kinect sensor from Microsoft and Matlab high level technical computing language. For image classification we use bag of features or bag of words. Process consists of extracting regions, compute descriptors, find clusters, and compute distance matrix and using SVM (Support Vector Machine) for Classification. Dataset which is used in this process is also created with Kinect sensor.