PCA Based Gait Segmentation

نویسندگان

  • Honggui Li
  • Cuiping Shi
  • Xingguo Li
چکیده

A PCA based gait segmentation method is proposed. Background images are used for PCA training. PCA reconstruction, recursive error compensation and single threshold based method is put forward for gait segmentation. Single threshold based method has the same gait segmentation ability as classical adaptive threshold based method, and the former is faster in implementation than the later. Proposed method is better than classical background subtraction based method, and can be compared with Gaussian derivative filter based method. Proposed method converges rapidly and has the excellent capability of gait segmentation for variant background. Keyword: PCA, Gait segmentation, Gait recognition.

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تاریخ انتشار 2007