AVSS 2011 demo session: A large-scale benchmark dataset for event recognition in surveillance video

Sangmin Oh, Anthony Hoogs, Amitha Perera, Naresh Cuntoor, Chia Chih Chen, Jong Taek Lee, Saurajit Mukherjee, J. K. Aggarwal, Hyungtae Lee, Larry Davis, Eran Swears, Xiaoyang Wang, Qiang Ji, Kishore Reddy, Mubarak Shah, Carl Vondrick, Hamed Pirsiavash, Deva Ramanan, Jenny Yuen, Antonio TorralbaBi Song, Anesco Fong, Amit Roy-Chowdhury, Mita Desai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

16 Scopus citations

Abstract

We introduce to the surveillance community the VIRAT Video Dataset[1], which is a new large-scale surveillance video dataset designed to assess the performance of event recognition algorithms in realistic scenes.

Original languageEnglish
Title of host publication2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2011
Pages527-528
Number of pages2
DOIs
StatePublished - 2011
Event2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2011 - Klagenfurt, Austria
Duration: 30 Aug 20112 Sep 2011

Publication series

Name2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2011

Conference

Conference2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2011
Country/TerritoryAustria
CityKlagenfurt
Period30/08/112/09/11

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