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Volume 31 Issue 1
Dec.  2010
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Chen Shi, Ma Tian-jun, Huang Wan-hong, Gao You-xing. A Multi-layer Windows Method of Moments for Gait Recognition[J]. Journal of Electronics & Information Technology, 2009, 31(1): 116-119. doi: 10.3724/SP.J.1146.2007.00247
Citation: Chen Shi, Ma Tian-jun, Huang Wan-hong, Gao You-xing. A Multi-layer Windows Method of Moments for Gait Recognition[J]. Journal of Electronics & Information Technology, 2009, 31(1): 116-119. doi: 10.3724/SP.J.1146.2007.00247

A Multi-layer Windows Method of Moments for Gait Recognition

doi: 10.3724/SP.J.1146.2007.00247
  • Received Date: 2007-08-08
  • Rev Recd Date: 2008-08-13
  • Publish Date: 2009-01-19
  • A feature representation method based on multi-layer local moment invariants for gait analysis and recognition applications is developed. The method includes following steps: first, silhouette extraction is performed for each image sequence. Secondly, the gait cycle is detected by a histogram-based approach. Thirdly, a scalarvalued CGHI(Colored Gait History Images) is proposed to describe how human walking is evolved. To improve the recognition rate, the CGHI is decomposed into a sequnce of muti-layer rectangle windows. The moment invariants from the window are used as the gait features and finally used to recognize gait. The correct classification rate of 87.2% is achieved on Soton database, which show that the method outperforms the exist methods.
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