A Method for Human Gait Recognition from Video Streams Using Silhouette, Height and Step Length-Reference-Cited by-同舟云学术

A Method for Human Gait Recognition from Video Streams Using Silhouette, Height and Step Length

Published:2019-08-22 Issue:07 Volume:29 Page:2050101
ISSN:0218-1266
Container-title:Journal of Circuits, Systems and Computers
language:en
Short-container-title:J CIRCUIT SYST COMP

Author:

Ramakić Adnan¹,Bundalo Zlatko²^ORCID,Bundalo Dušanka³

Affiliation:

1. Rectorate, University of Bihać, Pape Ivana Pavla II Str. No. 2/2, Bihać 77000, Bosnia and Herzegovina

2. Faculty of Electrical Engineering, University of Banja Luka, Patre 5, Banja Luka 78000, Bosnia and Herzegovina

3. Faculty of Philosophy, University of Banja Luka, Bulevar Vojvode Petra Bojovića 1A, Banja Luka 78000, Bosnia and Herzegovina

Abstract

This paper proposes and presents one way for people recognition from video streams. People recognition can be realized using various biometric features, behavioral or physiological, and methods based on that features. This work proposes and describes an algorithm for people recognition from video streams that is composed of two modules, module for dataset creation and module for recognition. Module for dataset creation involves creation of various types of person images and parameters. Module for recognition includes multiple comparisons of the images and different parameters comparison. These parameters are average height and average step length of a person during a gait cycle. For experimental purposes, a dataset for 15 persons in gait is created using a long-range stereo camera in outdoor environment. The algorithm has high accuracy in people recognition and easily can be upgraded with additional steps and modules, so it is suitable for use in various applications.

Publisher

World Scientific Pub Co Pte Lt

Subject

Electrical and Electronic Engineering,Hardware and Architecture,Electrical and Electronic Engineering,Hardware and Architecture

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0218126620501017

Reference27 articles.

1. Individual recognition using gait energy image

2. Gait energy volumes and frontal gait recognition using depth images

3. 2.5D gait biometrics using the Depth Gradient Histogram Energy Image

4. Depth Information in Human Gait Analysis: An Experimental Study on Gender Recognition

5. Human Identity and Gender Recognition From Gait Sequences With Arbitrary Walking Directions

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