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README.md Update README.md Mar 20, 2018

README.md

This is the code for testing part of our CVPR code and further.

To run the code, you need to install ffmpeg and opencv 2.4.11.

We have attached a modified version of ffmpeg 2.7.2 on the code package.

To install ffmpeg and opencv. We follow the guide on http://www.ozbotz.org/opencv-installation/ . But you need to install ffmpeg of our version and opencv 2.4.11 instead.

Note This is a third-party website. We have no control of the content on this website. Please use the content carefully.

  • For extracting Motion Vector image, you can run the extract_mvs_sample.sh. The code is designed for the videos with resolution of 320 * 240 (width * height). If you need to extract motion vector from different resolution, you can modified line 55-56 of draw_flow.cpp from MV-code-release folder to the desired resolution.

    Note The time reported in the paper is calculated without I/O, which means without the time of writing dump file and images to disk.

  • The MV-code-release folder is created using eclipse.

The model of UCF-101 is released (both spatial part and motion vector part).

  1. Motion vector model and Spatial Model for UCF-101 split1, split2, and split3 can be found on: https://drive.google.com/drive/folders/1RXXAauI_inR1KvO8ygQmeNBBKRbj3xDJ?usp=sharing

  2. The images of motion vector extracted from UCF-101 can be found on: https://drive.google.com/open?id=1MKy7uDzXCF0Q-ZIkABpaPYIjHbVHDBwx

If you find any questions in this motion vector CNN code, please contact me: 1023zhangbowen@tongji.edu.cn zbwglory@gmail.com.

Best regards,

Bowen

Please cite our paper in your publications if it helps your research:

@inproceedings{ZhangWWQW16,
  author    = {Bowen Zhang and Limin Wang and Zhe Wang and Yu Qiao and Hanli Wang},
  title     = {Real-time Action Recognition with Enhanced Motion Vector CNNs},
  booktitle = {CVPR},
  year      = {2016},
  pages     = {2718-2726}
}

This code is distributed under MIT LICENSE