A noise robust gait representation: Motion energy image

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

Research output: Contribution to journalArticle

20 Citations (Scopus)

Abstract

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
Volume7
Issue number4
DOIs
Publication statusPublished - 2009 Aug

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science Applications

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