A noise robust gait representation: Motion energy image

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

Research output: Contribution to journalArticlepeer-review

25 Citations (Scopus)


Gait-based human identification aims to discriminate individuals by the way they walk. A unique advantage of gait as a biometric is that it requires no subject contact and is easily acquired at a distance, which stands in contrast to other biometric techniques involving face, fingerprints, iris, etc. This paper proposes a new gait representation called motion energy image (MEI). Compared with other gait features, MEI is more robust against noise that can be included in binary gait silhouette images due to various factors. The effectiveness of the proposed method for gait recognition is demonstrated using experiments performed on the NLPR database.

Original languageEnglish
Pages (from-to)638-643
Number of pages6
JournalInternational Journal of Control, Automation and Systems
Issue number4
Publication statusPublished - 2009 Aug

Bibliographical note

Funding Information:
Manuscript received August 19, 2007; revised August 6, 2008 and December 10, 2008; accepted February 6, 2009. Recommended by Editorial Board member Jang Myung Lee under the direction of Editor Jae-Bok Song. This work was supported by the Korea Science and Engineering Foundation (KOSEF) through the Biometrics Engineering Research Center (BERC) at Yonsei University. Grant Number: R11-2002-105-09002-0 (2009).

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science Applications


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