Fusion of multiple Gait features for human identification

Sungjun Hong, Heesung Lee, Sung Je An, Euntai Kim

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

3 Citations (Scopus)

Abstract

Gait recognition has recently attracted increasing interest from the biometric community. In this paper, we propose a simple new feature called multi-bipolarized contour mean (MBCM) for gait recognition. The proposed MBCM feature consists of four components: (1) the vertical positive contour mean, (2) the vertical negative contour mean, (3) the horizontal positive contour mean, and (4) the horizontal negative contour mean. We fuse the proposed gait features at a feature level to improve recognition performance. The proposed recognition system is evaluated with the NLPR gait database.

Original languageEnglish
Title of host publication2008 International Conference on Control, Automation and Systems, ICCAS 2008
Pages2121-2125
Number of pages5
DOIs
Publication statusPublished - 2008 Dec 1
Event2008 International Conference on Control, Automation and Systems, ICCAS 2008 - Seoul, Korea, Republic of
Duration: 2008 Oct 142008 Oct 17

Publication series

Name2008 International Conference on Control, Automation and Systems, ICCAS 2008

Other

Other2008 International Conference on Control, Automation and Systems, ICCAS 2008
CountryKorea, Republic of
CitySeoul
Period08/10/1408/10/17

Fingerprint

Electric fuses
Biometrics
Fusion reactions

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

Cite this

Hong, S., Lee, H., An, S. J., & Kim, E. (2008). Fusion of multiple Gait features for human identification. In 2008 International Conference on Control, Automation and Systems, ICCAS 2008 (pp. 2121-2125). [4694446] (2008 International Conference on Control, Automation and Systems, ICCAS 2008). https://doi.org/10.1109/ICCAS.2008.4694446
Hong, Sungjun ; Lee, Heesung ; An, Sung Je ; Kim, Euntai. / Fusion of multiple Gait features for human identification. 2008 International Conference on Control, Automation and Systems, ICCAS 2008. 2008. pp. 2121-2125 (2008 International Conference on Control, Automation and Systems, ICCAS 2008).
@inproceedings{82e32ec8a3994bde9cdac36da68c732c,
title = "Fusion of multiple Gait features for human identification",
abstract = "Gait recognition has recently attracted increasing interest from the biometric community. In this paper, we propose a simple new feature called multi-bipolarized contour mean (MBCM) for gait recognition. The proposed MBCM feature consists of four components: (1) the vertical positive contour mean, (2) the vertical negative contour mean, (3) the horizontal positive contour mean, and (4) the horizontal negative contour mean. We fuse the proposed gait features at a feature level to improve recognition performance. The proposed recognition system is evaluated with the NLPR gait database.",
author = "Sungjun Hong and Heesung Lee and An, {Sung Je} and Euntai Kim",
year = "2008",
month = "12",
day = "1",
doi = "10.1109/ICCAS.2008.4694446",
language = "English",
isbn = "9788995003893",
series = "2008 International Conference on Control, Automation and Systems, ICCAS 2008",
pages = "2121--2125",
booktitle = "2008 International Conference on Control, Automation and Systems, ICCAS 2008",

}

Hong, S, Lee, H, An, SJ & Kim, E 2008, Fusion of multiple Gait features for human identification. in 2008 International Conference on Control, Automation and Systems, ICCAS 2008., 4694446, 2008 International Conference on Control, Automation and Systems, ICCAS 2008, pp. 2121-2125, 2008 International Conference on Control, Automation and Systems, ICCAS 2008, Seoul, Korea, Republic of, 08/10/14. https://doi.org/10.1109/ICCAS.2008.4694446

Fusion of multiple Gait features for human identification. / Hong, Sungjun; Lee, Heesung; An, Sung Je; Kim, Euntai.

2008 International Conference on Control, Automation and Systems, ICCAS 2008. 2008. p. 2121-2125 4694446 (2008 International Conference on Control, Automation and Systems, ICCAS 2008).

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

TY - GEN

T1 - Fusion of multiple Gait features for human identification

AU - Hong, Sungjun

AU - Lee, Heesung

AU - An, Sung Je

AU - Kim, Euntai

PY - 2008/12/1

Y1 - 2008/12/1

N2 - Gait recognition has recently attracted increasing interest from the biometric community. In this paper, we propose a simple new feature called multi-bipolarized contour mean (MBCM) for gait recognition. The proposed MBCM feature consists of four components: (1) the vertical positive contour mean, (2) the vertical negative contour mean, (3) the horizontal positive contour mean, and (4) the horizontal negative contour mean. We fuse the proposed gait features at a feature level to improve recognition performance. The proposed recognition system is evaluated with the NLPR gait database.

AB - Gait recognition has recently attracted increasing interest from the biometric community. In this paper, we propose a simple new feature called multi-bipolarized contour mean (MBCM) for gait recognition. The proposed MBCM feature consists of four components: (1) the vertical positive contour mean, (2) the vertical negative contour mean, (3) the horizontal positive contour mean, and (4) the horizontal negative contour mean. We fuse the proposed gait features at a feature level to improve recognition performance. The proposed recognition system is evaluated with the NLPR gait database.

UR - http://www.scopus.com/inward/record.url?scp=58149091496&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=58149091496&partnerID=8YFLogxK

U2 - 10.1109/ICCAS.2008.4694446

DO - 10.1109/ICCAS.2008.4694446

M3 - Conference contribution

AN - SCOPUS:58149091496

SN - 9788995003893

T3 - 2008 International Conference on Control, Automation and Systems, ICCAS 2008

SP - 2121

EP - 2125

BT - 2008 International Conference on Control, Automation and Systems, ICCAS 2008

ER -

Hong S, Lee H, An SJ, Kim E. Fusion of multiple Gait features for human identification. In 2008 International Conference on Control, Automation and Systems, ICCAS 2008. 2008. p. 2121-2125. 4694446. (2008 International Conference on Control, Automation and Systems, ICCAS 2008). https://doi.org/10.1109/ICCAS.2008.4694446