PersonPath22

Description

PersonPath22 is a large-scale multi-person tracking dataset containing 236 videos captured mostly from static-mounted cameras, collected from sources where we were given the rights to redistribute the content and participants have given explicit consent. Each video has ground-truth annotations including both bounding boxes and tracklet-ids for all the persons in each frame.

Update Frequency

Periodically

License

Creative Commons Attribution-NonCommercial 4.0 International Public License (CC BY-NC 4.0)

Documentation

https://amazon-science.github.io/tracking-dataset/personpath22.html

Managed By

See all datasets managed by Amazon Web Services.

Contact

Post any questions to re:Post and use the AWS Open Data tag.

How to Cite

PersonPath22 was accessed on DATE from https://registry.opendata.aws/person-path-22.

Usage Examples

Publications

• Large scale Real-world Multi-Person Tracking by Bing Shuai, Alessandro Bergamo, Uta Buechler, Andrew Berneshawi, Alyssa Boden, Joseph Tighe