A new Gait representation for human identification: Mass vector

Sungjun Hong, Heesung Lee, Imran Fareed Nizami, Euntai Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

29 Citations (Scopus)

Abstract

Gait is a new biometric aimed to recognize individuals by the way they walk Gait recognition has recently an increasing interest from researchers due to several advantages. In this paper, we have proposed a new representation for human gait recognition which is called as mass vector. The mass vector along a given row is defined as the number of pixels with a nonzero value in a given row of the binarized silhouette of a walking person. Sequences of temporally ordered mass vector are used to represent a gait of an individual. We use the dynamic time-warping (DTW) approach for matching so that non-linear time normalization may be used to deal with the naturally-occurring changes in walking speed. Experimental results show that mass vector has a high discriminative power for gait recognition. The recognition rate is around 96.25% in a canonical viewing angle in NLPR gait database by using mass vector. Our proposed system outperforms previous works.

Original languageEnglish
Title of host publicationICIEA 2007
Subtitle of host publication2007 Second IEEE Conference on Industrial Electronics and Applications
Pages669-673
Number of pages5
DOIs
Publication statusPublished - 2007 Oct 18
Event2007 2nd IEEE Conference on Industrial Electronics and Applications, ICIEA 2007 - Harbin, China
Duration: 2007 May 232007 May 25

Publication series

NameICIEA 2007: 2007 Second IEEE Conference on Industrial Electronics and Applications

Other

Other2007 2nd IEEE Conference on Industrial Electronics and Applications, ICIEA 2007
CountryChina
CityHarbin
Period07/5/2307/5/25

Fingerprint

Biometrics
Pixels

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Hong, S., Lee, H., Nizami, I. F., & Kim, E. (2007). A new Gait representation for human identification: Mass vector. In ICIEA 2007: 2007 Second IEEE Conference on Industrial Electronics and Applications (pp. 669-673). [4318491] (ICIEA 2007: 2007 Second IEEE Conference on Industrial Electronics and Applications). https://doi.org/10.1109/ICIEA.2007.4318491
Hong, Sungjun ; Lee, Heesung ; Nizami, Imran Fareed ; Kim, Euntai. / A new Gait representation for human identification : Mass vector. ICIEA 2007: 2007 Second IEEE Conference on Industrial Electronics and Applications. 2007. pp. 669-673 (ICIEA 2007: 2007 Second IEEE Conference on Industrial Electronics and Applications).
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Hong, S, Lee, H, Nizami, IF & Kim, E 2007, A new Gait representation for human identification: Mass vector. in ICIEA 2007: 2007 Second IEEE Conference on Industrial Electronics and Applications., 4318491, ICIEA 2007: 2007 Second IEEE Conference on Industrial Electronics and Applications, pp. 669-673, 2007 2nd IEEE Conference on Industrial Electronics and Applications, ICIEA 2007, Harbin, China, 07/5/23. https://doi.org/10.1109/ICIEA.2007.4318491

A new Gait representation for human identification : Mass vector. / Hong, Sungjun; Lee, Heesung; Nizami, Imran Fareed; Kim, Euntai.

ICIEA 2007: 2007 Second IEEE Conference on Industrial Electronics and Applications. 2007. p. 669-673 4318491 (ICIEA 2007: 2007 Second IEEE Conference on Industrial Electronics and Applications).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Hong S, Lee H, Nizami IF, Kim E. A new Gait representation for human identification: Mass vector. In ICIEA 2007: 2007 Second IEEE Conference on Industrial Electronics and Applications. 2007. p. 669-673. 4318491. (ICIEA 2007: 2007 Second IEEE Conference on Industrial Electronics and Applications). https://doi.org/10.1109/ICIEA.2007.4318491