Feature extraction for person gait recognition applications

• Published in: Facta universitatis. Series Electronics and energetics Vol. 34; no. 4; pp. 557 - 567
• Main Authors: Ramakic, Adnan, Bundalo, Zlatko, Vidovic, Zeljko
• Format: Journal Article
• Language: English
• Published: 01-12-2021
• ISSN: 0353-3670; 2217-5997
• DOI: 10.2298/FUEE2104557R

In this paper we present some features that may be used in person gait
recognition applications. Gait recognition is an interesting way of people
identification. During a gait cycle, each person creates unique patterns
that can be used for people identification. Also, gait recognition methods
ordinarily do not need interaction with a person and that is the main
advantage of these methods. Features used in a person gait recognition
methods can be obtained with widely available RGB and RGB-D cameras. In this
paper we present a two features which are suitable for use in gait
recognition applications. Mentioned features are height of a person and step
length of a person. They may be extracted and were extracted from depth
images obtained from RGB-D camera. For experimental purposes, we used a
custom dataset created in outdoor environment using a long-range stereo
camera.