Eigenwalks: Walk detection and biometrics from symmetry patterns

László Havasi, Zoltán Szlávik, Tamás Szirányi

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

11 Citations (Scopus)

Abstract

In this paper we present a symmetry-based approach which can be used to detect humans and to extract biometric characteristics from video image-sequences. The method employs a simplified symmetry-feature extracted from the images. To obtain a useful descriptor of a walking person, we track temporally the symmetries which result from the movements of the person's legs. In a further processing stage these patterns are filtered, then re-sampled using Bezier-splines to generate an invariant and noise-cleaned signature or "feature". In our detection method the extracted spatio-temporal feature with a large number of dimensions (800) is transformed to a space with a much smaller number of dimensions (3), which we call the "eigenwalks space"; the method uses Principal Component Analysis (PCA) to reduce the dimensionality, and the Support Vector Machine (SVM) method in the eigenspace for recognition purposes. Finally we present a method by which we can estimate the gait-parameters (the beginning and end of a walk-cycle, identification of the leading leg) from the symmetry-patterns of the walking person, without camera calibration, based on two successive detected walk-steps.

Original languageEnglish
Title of host publicationIEEE International Conference on Image Processing 2005, ICIP 2005
Pages289-292
Number of pages4
DOIs
Publication statusPublished - Dec 1 2005
EventIEEE International Conference on Image Processing 2005, ICIP 2005 - Genova, Italy
Duration: Sep 11 2005Sep 14 2005

Publication series

NameProceedings - International Conference on Image Processing, ICIP
Volume3
ISSN (Print)1522-4880

Other

OtherIEEE International Conference on Image Processing 2005, ICIP 2005
CountryItaly
CityGenova
Period9/11/059/14/05

Keywords

  • Component
  • Motion analysis
  • PCA
  • Pedestrian detection
  • SVM
  • Spline interpolation

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Havasi, L., Szlávik, Z., & Szirányi, T. (2005). Eigenwalks: Walk detection and biometrics from symmetry patterns. In IEEE International Conference on Image Processing 2005, ICIP 2005 (pp. 289-292). [1530385] (Proceedings - International Conference on Image Processing, ICIP; Vol. 3). https://doi.org/10.1109/ICIP.2005.1530385