Skip to content
UCO-LAEO database: annotated database for training and evaluating LAEO models
Python
Branch: master
Clone or download
Latest commit 4329e76 Jun 13, 2019
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
annotations mjmarin: added placeholders Apr 7, 2019
code
frames mjmarin: added code to handle annotations. Apr 7, 2019
videos mjmarin: added code to handle annotations. Apr 7, 2019
README.md
ucolaeodb_samples.jpg Add files via upload Apr 6, 2019

README.md

UCO-LAEO: an annotated database for training and evaluating LAEO models

UCO-LAEO database

Description

We use four popular TV shows: ‘Game of thrones’, ‘Mr Robot’, ‘Smallville’ and ‘The walking dead’. From these shows, we collect 129 (3-12 seconds long) shots and first annotate all the heads in each frame with bounding boxes, and then annotate each head pair as LAEO or not-LAEO.

If you use this dataset in your work, please, cite [1].

Download

The videos and annotations are available at the following URL
To download the already extracted frames, use the following URL.

Alternatively, you can download and extract the videos, annotations and frames using:

curl http://rabinf24.uco.es/ucolaeo/ucolaeodb.tgz | tar xz
curl http://www.robots.ox.ac.uk/~vgg/research/laeonet/downloads/UCOLAEO_v1.0_frames.tar.gz | tar xz

Annotations

The dataset contains 3 types of annotations:

  • Frame-level LAEO: is there any pair of people LAEO?
  • Head bounding-boxes: for each frame and each visible head, bouding boxes are provided.
  • Pair-level LAEO: for each frame, those pairs of heads that are LAEO are indicated.

Code

After downloading the package containing the videos and annotations, within the code directory, run ucolaeo_demo.py for a quick example.

Evaluation protocol

The file code/uco_dbconfig.py contains information about the videos used for validation and testing at [1], the remaining ones were used for training.

References

[1]

@inproceedings{marin19cvpr,
  author    = {Mar\'in-Jim\'enez, Manuel J. and Kalogeiton, Vicky and Medina-Su\'arez, Pablo and and Zisserman, Andrew},
  title     = {{LAEO-Net}: revisiting people {Looking At Each Other} in videos},
  booktitle = CVPR,
  year      = {2019}
}

Acknowledgments

The initial version of this dataset was compiled by Rafael Fernandez during the development of his final project (IT degree) at the University of Cordoba.

You can’t perform that action at this time.