https://github.com/yavuzkomecoglu/msr-action-recognition

MSR Action Recognition Datasets and Codes
https://github.com/yavuzkomecoglu/msr-action-recognition

human-action-recognition msraction3d skeleton-animation visualization

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MSR Action Recognition Datasets and Codes

• Host: GitHub
• URL: https://github.com/yavuzkomecoglu/msr-action-recognition
• Owner: yavuzKomecoglu
• Created: 2019-06-08T13:52:04.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2019-06-08T14:48:06.000Z (over 5 years ago)
• Last Synced: 2024-04-16T02:12:10.371Z (8 months ago)
• Topics: human-action-recognition, msraction3d, skeleton-animation, visualization
• Language: Jupyter Notebook
• Size: 9.8 MB
• Stars: 24
• Watchers: 1
• Forks: 8
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

        
# Human-Action-Recognition :skull:

 

Action: Tennis Serve

![action: tennis serve](action_a18s1i1_animation.gif)

## Datasets

20 action types, 10 subjects, each subject performs each action 2 or 3 times. There are 567 depth map sequences in total. The resolution is 640x240. The data was recorded with a depth sensor similar to the Kinect device. The dataset is described in the following paper.

Action Recognition Based on A Bag of 3D Points, Wanqing Li, Zhengyou Zhang, Zicheng Liu, IEEE International Workshop on CVPR for Human Communicative Behavior Analysis (in conjunction with CVPR2010), San Francisco, CA, June, 2010.

https://www.uow.edu.au/~wanqing/#Datasets

## Code

- **MSRAction3DSkeleton(20joints) Dataset Reading and Creating Animation** ([Jupyter Notebook](MSRAction3D_Dataset_Reading_Visualization.ipynb))

    [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/yavuzKomecoglu/MSR-Action-Recognition/blob/master/MSRAction3D_Dataset_Reading_Visualization.ipynb)

- **Skeleton Visualizer**

    Usage visualizer e.g.:

    animate3D_20joints.py 18 1 1

    ```

    python3 animate3D_20joints.py   

    ```