FEATURE EXTRACTION FOR PERSON GAIT RECOGNITION APPLICATIONS

被引：1

作者：

Ramakic, Adnan ^{[1
]}

Bundalo, Zlatko ^{[2
]}

Vidovic, Zeljko ^{[3
]}

机构：

[1] Univ Bihac, Bihac, Bosnia & Herceg

[2] Univ Banja Luka, Fac Elect Engn, 5 Patre, Banja Luka 78000, Bosnia & Herceg

[3] Univ East Sarajevo, Fac Transport & Traff Engn, Doboj, Bosnia & Herceg

来源：

FACTA UNIVERSITATIS-SERIES ELECTRONICS AND ENERGETICS | 2021年 / 34卷 / 04期

关键词：

Gait Recognition; Gait Energy Image; Backfilled Gait Energy Image; Height of a Person; Step Length of a Person;

D O I：

10.2298/FUEE2104557R

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：557 / 567

页数：11

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