The Multiview Extended Video with Activities (MEVA) dataset

MEVA aims to build a corpus of activity video collected from multiple viewpoints in realistic settings.

There is a MEVA data users Google group to facilitate communication and collaboration for those interested in working with the data. Join the conversation through the meva-data-users group.

Citing MEVA

The dataset is described in our WACV 2021 paper. The bibtex citation is:

@InProceedings{Corona_2021_WACV,
    author    = {Corona, Kellie and Osterdahl, Katie and Collins, Roderic and Hoogs, Anthony},
    title     = {MEVA: A Large-Scale Multiview, Multimodal Video Dataset for Activity Detection},
    booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
    month     = {January},
    year      = {2021},
    pages     = {1060-1068}
}
            

Releases

Known Facility Release #1 ("KF1"):

The KF1 data was collected over a total of three weeks at the Muscatatuck Urban Training Center (MUTC) with a team of over 100 actors performing in various scenarios. The fields of view, both overlapping and non-overlapping, capture person and vehicle activities in indoor and outdoor environments. There were multiple realistic scenarios with a variety of scripted and non-scripted activities.

The camera infrastructure included commercial-off-the-shelf EO cameras; thermal infrared cameras as part of several IR-EO pairs; two DJI Inspire 1 v2 drones, and a range of still images from handheld cameras.

The actors were also carrying GPS loggers; see here for more details.

Visualization of the fine-grained MUTC 3D model.

Annotation sample (accelerated for display.)