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GaitPretreatment

Robust Pretreatment Strategy for Gait Recognition, view the paper here.

requirements

pip install -r requirements.txt

CAISA-B

Download URL: CASIA-B.

  • Please adjust the raw video file of the CAISA-B dataset to the following format:
CASIA-B-video
    001-bg-01-000.avi
    ......
    124-nm-06-180.avi
  • Extracting silhouettes from CAISA-B-Video using GaitPretreatment. (including RVM, Clean, and Augment)
python CASIA-B.py

OutdoorGait

Download URL: Outdoor-Gait (Baidu Yun with extract code (tjw0) OR Google Drive).

  • Please adjust the raw RGB image file of the OutdoorGait dataset to the following format:
OutdoorGait-img
    images
        001
            scene1_bg_L_090_1
                001.jpg
                ......
            scene1_cl_L_090_1
        002
        ...
  • Extracting silhouettes from OutdoorGait-img using GaitPretreatment. (including RVM, Clean, and Augment)
python OutdoorGait.py

Parameters

img_size: Image resizing size. Default 64.

clean: Clean up the unqualified silhouettes using a silhouette classification model. Default True.

augment: Flip the cleaned silhouette sequence horizontally for data augmentation. Default True.

frame_resize_threshold: When using RVM preprocessing, in order to speed up the silhouette extraction, images larger than the width of threshold pixels will be scaled to threshold pixels. Default 800 pixels.

pixel_threshold: The threshold for finding the upper and lower boundaries of a person when cutting images. (the sum of row pixels is greater than or equal to the threshold pixel). Default 800 pixels.

Acknowledgement

Citation

@inproceedings{han2022gaitpretreatment,
  title={GaitPretreatment: Robust Pretreatment Strategy for Gait Recognition},
  author={Han, Yuanyuan and Wang, Zhong and Han, Xin and Fan, Xiaoya},
  booktitle={2022 International Conference on Communications, Computing, Cybersecurity, and Informatics (CCCI)},
  pages={1-6},
  year={2022},
  organization={IEEE}
}

Note: GaitPretreatment is only used for academic purposes.