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

  • Authors:

  • 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 Torralba;Bi Song;Anesco Fong;Amit Roy-Chowdhury;Mita Desai

  • Affiliations:

  • -;-;-;-;-;-;-;-;-;-;-;-;-;-;-;-;-;-;-;-;-;-;-;-

  • Venue:
  • AVSS '11 Proceedings of the 2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance
  • Year:
  • 2011

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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