Gait recognition system tailored for Arab costume of the Gulf region

Existing work on gait recognition is focused on casual (western) customs hence not suitable for the gulf region where long gowns are used for both men and women. This paper proposes a gait recognition solution that is suitable for both gulf customs and casual customs. The solution is based on computing an adaptive image prediction between consecutive images. The resultant predictions are then accumulated into one image and transformed using either discrete cosine transformation (DCT) or Radon transformation. The feature vectors of the gait are computed from such transformed images. Feature modeling based on polynomial networks follows. The proposed solution is tested on a dataset with around 100 participants with mixed genders and mixed customs. The proposed system yields an impressive classification rates approaching 100% accuracy.