Dual-ellipse fitting approach for robust gait periodicity detection

Xianye Ben; Weixiao Meng; Rui Yan

doi:10.1016/j.neucom.2011.10.009

Dual-ellipse fitting approach for robust gait periodicity detection

Xianye Ben^*
, Weixiao Meng
, Rui Yan

^*Corresponding author for this work

Shandong University
School of Electronics and Information Engineering, Harbin Institute of Technology
Rensselaer Polytechnic Institute

Research output: Contribution to journal › Article › peer-review

40 Scopus citations

Abstract

A new gait period detection algorithm, dual-ellipse fitting (DEF) approach, is proposed. DEF is that two regions of the whole silhouette divided by the centroid are fitted into two ellipses, respectively. We construct the gait fluctuation as a periodic function which depends on the eccentricities of two halves of the silhouette over time. Experimental results show that the proposed method is robust to scale, translation, direction of walking and carrying a bag.

Original language	English
Pages (from-to)	173-178
Number of pages	6
Journal	Neurocomputing
Volume	79
DOIs	https://doi.org/10.1016/j.neucom.2011.10.009
State	Published - 1 Mar 2012
Externally published	Yes

Keywords

Dual-ellipse fitting
Eccentricity
Gait period detection
Gait recognition

Access to Document

10.1016/j.neucom.2011.10.009

Cite this

@article{6f0e2b561d754665a55c2ffb02710a4d,

title = "Dual-ellipse fitting approach for robust gait periodicity detection",

abstract = "A new gait period detection algorithm, dual-ellipse fitting (DEF) approach, is proposed. DEF is that two regions of the whole silhouette divided by the centroid are fitted into two ellipses, respectively. We construct the gait fluctuation as a periodic function which depends on the eccentricities of two halves of the silhouette over time. Experimental results show that the proposed method is robust to scale, translation, direction of walking and carrying a bag.",

keywords = "Dual-ellipse fitting, Eccentricity, Gait period detection, Gait recognition",

author = "Xianye Ben and Weixiao Meng and Rui Yan",

year = "2012",

month = mar,

day = "1",

doi = "10.1016/j.neucom.2011.10.009",

language = "英语",

volume = "79",

pages = "173--178",

journal = "Neurocomputing",

issn = "0925-2312",

publisher = "Elsevier B.V.",

}

TY - JOUR

T1 - Dual-ellipse fitting approach for robust gait periodicity detection

AU - Ben, Xianye

AU - Meng, Weixiao

AU - Yan, Rui

PY - 2012/3/1

Y1 - 2012/3/1

N2 - A new gait period detection algorithm, dual-ellipse fitting (DEF) approach, is proposed. DEF is that two regions of the whole silhouette divided by the centroid are fitted into two ellipses, respectively. We construct the gait fluctuation as a periodic function which depends on the eccentricities of two halves of the silhouette over time. Experimental results show that the proposed method is robust to scale, translation, direction of walking and carrying a bag.

AB - A new gait period detection algorithm, dual-ellipse fitting (DEF) approach, is proposed. DEF is that two regions of the whole silhouette divided by the centroid are fitted into two ellipses, respectively. We construct the gait fluctuation as a periodic function which depends on the eccentricities of two halves of the silhouette over time. Experimental results show that the proposed method is robust to scale, translation, direction of walking and carrying a bag.

KW - Dual-ellipse fitting

KW - Eccentricity

KW - Gait period detection

KW - Gait recognition

UR - https://www.scopus.com/pages/publications/83955165241

U2 - 10.1016/j.neucom.2011.10.009

DO - 10.1016/j.neucom.2011.10.009

M3 - 文章

AN - SCOPUS:83955165241

SN - 0925-2312

VL - 79

SP - 173

EP - 178

JO - Neurocomputing

JF - Neurocomputing

ER -

Dual-ellipse fitting approach for robust gait periodicity detection

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this