Gait Pattern Production Based on Silhouette Differences


Gedikli E., EKİNCİ M.

IEEE 17th Signal Processing and Communications Applications Conference, Antalya, Turkey, 9 - 11 April 2009, pp.387-388 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/siu.2009.5136347
  • City: Antalya
  • Country: Turkey
  • Page Numbers: pp.387-388

Abstract

In this work novel gait pattern production approach is proposed for human gait recognition Gait biometric features are determined based on silhouttes Proposed gait pattern is obtained by sum of the different silhouttes over a gait cycle Then transformation matrix is produced with principal component analysis of training dataset obtained from gait patterns Each pattern is transformed into another domain classified here Classification is done with nearest neighbor algorithm Successful results are achieved with the proposed method even when silhouttes can't be acquired well