Title :
Gait biometrics with a Microsoft Kinect sensor
Author :
Putz-Leszczynska, Joanna ; Granacki, Miroslaw
Author_Institution :
Biometric & Machine Learning Group, Warsaw Univ. of Technol., Warsaw, Poland
Abstract :
The article presents an analysis of gait biometrics system, that is based on a RGB-D images. The data used for the analysis is captured with a Microsoft Kinect sensor and it is transformed by the Skeletal Tracking SDK. The developed gait recognition system is based on a body geometry and on a body behavioral recorded during the person walking. Experiments were conducted on a database that contains data for 47 individuals and showed that the use of RGB-D images allows for an acceptable results.
Keywords :
gait analysis; geometry; image colour analysis; image motion analysis; image sensors; object tracking; Microsoft Kinect sensor; RGB-D images; body behavior recording; body geometry; gait biometrics; gait recognition system; person walking; skeletal tracking SDK; Databases; Dynamics; Gait recognition; Geometry; Heuristic algorithms; Iris recognition; Dynamic Time Warping; RGB-D; biometrics; gait recognition; kinect;
Conference_Titel :
Security Technology (ICCST), 2014 International Carnahan Conference on
Conference_Location :
Rome
Print_ISBN :
978-1-4799-3530-7
DOI :
10.1109/CCST.2014.6986994
