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

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 tech...

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Bibliographische Detailangaben

Veröffentlicht in:	Transportation research record 2013-01, Vol.2393 (1), p.31-40
Hauptverfasser:	Hediyeh, Houman, Sayed, Tarek, Zaki, Mohamed H.
Format:	Artikel
Sprache:	eng
Schlagworte:	Age Algorithms Classification Gait Pedestrians Statistics Tracking Walking
Online-Zugang:	Volltext
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