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Title:

Use of Spatiotemporal Parameters of Gait for Automated Classification of Pedestrian Gender and Age

Accession Number:

01472461

Record Type:

Component

Availability:

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Washington, DC 20001 United States
Order URL: http://www.trb.org/Main/Blurbs/170369.aspx

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Order URL: http://worldcat.org/isbn/9780309287173

Abstract:

This study investigates the feasibility of using the spatiotemporal parameters of gait—step frequency and step length—as cues for classifying pedestrians according to their gender and age. The gait parameters are automatically extracted from the pedestrian walking speed profile. Computer vision techniques are used for the automatic detection and tracking of pedestrians in an open (uncontrolled) environment. The classification is undertaken by using a simple k nearest neighbor algorithm. For demonstration, two case studies are used: Vancouver, British Columbia, Canada, and Oakland, California. For gender, correct classification rates of 78% and 81% were achieved for the Vancouver and Oakland case studies, respectively. Gender classification for the Vancouver case study considered pedestrians walking alone or in groups, and the Oakland case study gender classification considered only pedestrians walking alone. Pedestrian age classification resulted in a correct classification rate of 86% for the Oakland case study. Another classification measure, the kappa statistic, showed that the classification results were statistically significant beyond what is expected by chance. The method has the advantages of relying only on the pedestrian speed profile and using a simple classification algorithm.

Monograph Title:

Pedestrians 2013

Monograph Accession #:

01518276

Report/Paper Numbers:

13-0350

Language:

English

Authors:

Hediyeh, Houman
Sayed, Tarek
Zaki, Mohamed H

Pagination:

pp 31–40

Publication Date:

2013

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Issue Number: 2393
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

9780309287173

Media Type:

Print

Features:

Figures (7) ; References (33) ; Tables (4)

Subject Areas:

Operations and Traffic Management; Pedestrians and Bicyclists; Safety and Human Factors; I71: Traffic Theory; I73: Traffic Control

Files:

TRIS, TRB, ATRI

Created Date:

Feb 5 2013 12:12PM

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