Feature extraction for person gait recognition applications

Autor:	Adnan Ramakic, Zlatko Bundalo, Zeljko Vidovic
Rok vydání:	2021
Předmět:	ComputingMethodologies_PATTERNRECOGNITION ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION General Earth and Planetary Sciences ComputingMethodologies_COMPUTERGRAPHICS General Environmental Science
Zdroj:	Facta universitatis - series: Electronics and Energetics. 34:557-567
ISSN:	2217-5997 0353-3670
DOI:	10.2298/fuee2104557r
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::21ea50d86e228272b17bd3cb675bc368 https://doi.org/10.2298/fuee2104557r Zobrazit plný text záznamu