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Title:The BEHAVE video dataset: ground truthed video for multi-person behavior classification
Authors: Scott Blunsden ; Robert Fisher
Date: 2010
Publication Title:Annals of the BMVA
Publisher:British Machine Vision Association
Publication Type:Journal Article Publication Status:Published
Volume No:2010(4) Page Nos:1-12
Although there is much research on behaviour recognition in time-varying video, there are few ground truthed datasets for assessing multi-person behavioral interactions. This short paper presents the BEHAVE project s dataset, which has around 90,000 frames of humans identified by bounding boxes, with interacting groups classified into one of 6 different behaviors. An example of its use is also presented.
2010 by The University of Edinburgh. All Rights Reserved
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Bibtex format
author = { Scott Blunsden and Robert Fisher },
title = {The BEHAVE video dataset: ground truthed video for multi-person behavior classification},
journal = {Annals of the BMVA},
publisher = {British Machine Vision Association},
year = 2010,
volume = {2010(4)},
pages = {1-12},

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