Spatio-temporal object detection proposals
Dan Oneata Jerome Revaud Jakob Verbeek Cordelia Schmid
Download
Code
You can find the code
here.
Annotations
We have re-annotated the UCF Sport dataset every 20 frames.
You can find our annotations
here.
The archive contains a text file for the 150 videos in the dataset.
Each line of the annotation files has the following format:
frame_num x_pos y_pos width height.
The mappings between the video IDs and the video names are in the
videos.txt file,
but we have used the train-test split defined by the files
train.txt and
test.txt.
Citation
@inproceedings{oneata:hal-01021902,
AUTHOR = {Oneata, Dan and Revaud, Jerome and Verbeek, Jakob and Schmid, Cordelia},
TITLE = {Spatio-Temporal Object Detection Proposals},
BOOKTITLE = {{ECCV 2014 - European Conference on Computer Vision}},
PUBLISHER = {Springer},
YEAR = {2014},
MONTH = Sep,
ADDRESS = {Zurich, Switzerland},
URL = {http://hal.inria.fr/hal-01021902},
}
Articles
ECCV 2014
Dan Oneata, Jerome Revaud, Jakob Verbeek and Cordelia Schmid,
ECCV'14, September, 2014.