Dataset
We used the TBD Pedestrian Dataset[1] by CMU. It has the following salient features:
- Multiple static cameras (3 views) with intrinsic and extrinsic matrix provided for each camera.
- Bird’s eye view scene (matching our target domain)
- Provides ground human truth trajectory (3D points projected to Z=0 plane)
- Each trajectory matched with pedestrian ID across all 3 viewpoints.
- Provides Frame level trajectory coordinates
![](https://mscvprojects.ri.cmu.edu/2022team11/wp-content/uploads/sites/66/2022/12/image-9.png)
![](https://mscvprojects.ri.cmu.edu/2022team11/wp-content/uploads/sites/66/2022/12/image-10.png)
References
[1] Wang, A., Biswas, A., Admoni, H., & Steinfeld, A. (2022). Towards Rich, Portable, and Large-Scale Pedestrian Data Collection. ArXiv, abs/2203.01974