Human gait recognition based on Discrete Cosine Transform and Linear Discriminant Analysis

@article{Fan2016HumanGR,
  title={Human gait recognition based on Discrete Cosine Transform and Linear Discriminant Analysis},
  author={Zheyi Fan and Jiao Jiang and Shuqin Weng and Zhonghang He and Zhiwen Liu},
  journal={2016 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)},
  year={2016},
  pages={1-6}
}
To improve the accuracy of gait recognition by fully utilizing gait information, a human gait recognition algorithm based on the Discrete Cosine Transform (DCT) and the Linear Discriminant Analysis (LDA) is proposed in this paper. First, frequency-domain features are extracted from the Gait Energy Image (GEI) by DCT, which can effectively distinguish different frequency components of human gait. Then, these frequency features are further mapped into the optimal discriminant vectors space by LDA… CONTINUE READING