This repository is the Action Viewer for the ICVL Action Dataset. More information can be find on our paper. Following image indicates a hierarchical action structure. There are 4 layers, posture, locomotiom, gesture, and event layer. So, one action is represented 4 sub-action labels.
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│ ActionViewer
│ ├── DB
│ │ ├── AR-002-12-20151017-01-09.mkv
│ │ ├── AR-002-12-20151017-01-09.txt
│ │ ├── AR-003-12-20151024-02-04.avi
│ │ └── AR-003-12-20151024-02-04.txt
│ ├── Icon
│ │ ├── Bending.bmp
│ │ ├── Bicycling.bmp
│ │ ├── Falling.bmp
│ │ ├── Littering.bmp
│ │ ├── Lying.bmp
│ │ ├── Nothing.bmp
│ │ ├── Others.bmp
│ │ ├── Phoning.bmp
│ │ ├── Running.bmp
│ │ ├── Sitting.bmp
│ │ ├── Smoking.bmp
│ │ ├── Standing.bmp
│ │ ├── Stationary.bmp
│ │ ├── Texting.bmp
│ │ └── Walking.bmp
│ ├── ICVL_action_structure.py
│ ├── ICVL_data_reader.py
│ ├── main.py
│ └── write2excel.py
Run main.py
in the ActionViewer.
python main.py
--resize_ratio
: resize ratio for input frame, default: 1.0
--interval_time
: interval time between two frames, default: 20
Click here to download ICVL dataset. Please cite our following paper to use ICVL dataset.
@article{jin2017real,
title={Real-time action detection in video surveillance using sub-action descriptor with multi-cnn},
author={Jin, Cheng-Bin and Li, Shengzhe and Kim, Hakil},
journal={arXiv preprint arXiv:1710.03383},
year={2017}
}
Copyright (c) 2018 Cheng-Bin Jin. Contact me for commercial use (or rather any use that is not academic research) (email: sbkim0407@gmail.com). Free for research use, as long as proper attribution is given and this copyright notice is retained.