Informatics Report Series
|
|
|
|
|
|
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
|
|
- Abstract:
-
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.
- Copyright:
- 2010 by The University of Edinburgh. All Rights Reserved
- Links To Paper
- No links available
- Bibtex format
- @Article{EDI-INF-RR-1381,
- 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},
- }
|