Behavior analysis through collaborative visual exploration on trajectory data

Ye, T; Hao, Y; Wang, Z; Lai, C; Chen, S; Li, Z; Liang, J; Yuan, X

Behavior analysis through collaborative visual exploration on trajectory data

Ye, T Hao, Y Wang, Z Lai, C Chen, S Li, Z Liang, J

Yuan, X

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Publication Type:: Conference Proceeding
Citation:: 2015 IEEE Conference on Visual Analytics Science and Technology, VAST 2015 - Proceedings, 2015, pp. 131 - 132
Issue Date:: 2015-12-04

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Field	Value	Language
dc.contributor.author	Ye, T	en_US
dc.contributor.author	Hao, Y	en_US
dc.contributor.author	Wang, Z	en_US
dc.contributor.author	Lai, C	en_US
dc.contributor.author	Chen, S	en_US
dc.contributor.author	Li, Z	en_US
dc.contributor.author	Liang, J https://orcid.org/0000-0001-7179-5208	en_US
dc.contributor.author	Yuan, X	en_US
dc.date.issued	2015-12-04	en_US
dc.identifier.citation	2015 IEEE Conference on Visual Analytics Science and Technology, VAST 2015 - Proceedings, 2015, pp. 131 - 132	en_US
dc.identifier.isbn	9781467397834	en_US
dc.identifier.uri	http://hdl.handle.net/10453/116123
dc.description.abstract	© 2015 IEEE. In VAST Challenge 2015, we proposed a collaborative visual exploration system for behavior analysis over trajectory records. We discuss technical details in this report, in order to deliberate how the system supports multiple users to collaboratively analyze the same data, assist in sharing their findings, and constructing an overall picture of their insights.	en_US
dc.relation.ispartof	2015 IEEE Conference on Visual Analytics Science and Technology, VAST 2015 - Proceedings	en_US
dc.relation.isbasedon	10.1109/VAST.2015.7347645	en_US
dc.title	Behavior analysis through collaborative visual exploration on trajectory data	en_US
dc.type	Conference Proceeding
utslib.for	080602 Computer-Human Interaction	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

© 2015 IEEE. In VAST Challenge 2015, we proposed a collaborative visual exploration system for behavior analysis over trajectory records. We discuss technical details in this report, in order to deliberate how the system supports multiple users to collaboratively analyze the same data, assist in sharing their findings, and constructing an overall picture of their insights.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/116123