Detection of gait characteristics for scene registration in video surveillance system

László Havasi, Zoltán Szlávik, Tamás Szirányi

Research output: Contribution to journalArticle

33 Citations (Scopus)


This paper presents a robust walk-detection algorithm, based on our symmetry approach which can be used to extract gait characteristics from video-image sequences. To obtain a useful descriptor of a walking person, we temporally track the symmetries of a person's legs. Our method is suitable for use in indoor or outdoor surveillance scenes. Determining the leading leg of the walking subject is important, and the presented method can identify this from two successive walk steps (one walk cycle). We tested the accuracy of the presented walk-detection method in a possible application: Image registration methods are presented which are applicable to multicamera systems viewing human subjects in motion.

Original languageEnglish
Pages (from-to)503-510
Number of pages8
JournalIEEE Transactions on Image Processing
Issue number2
Publication statusPublished - Feb 1 2007



  • Image registration
  • Motion analysis
  • Object detection

ASJC Scopus subject areas

  • Software
  • Computer Graphics and Computer-Aided Design

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