A large-scale benchmark dataset for event recognition in surveillance video

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

doi:10.1109/cvpr.2011.5995586

Public

A large-scale benchmark dataset for event recognition in surveillance video

Published • Jun 1, 2011

Authors:

Sangmin Oh

Anthony Hoogs

A. G. Amitha Perera

Abstract

We introduce a new large-scale video dataset designed to assess the performance of diverse visual event recognition algorithms with a focus on continuous visual event recognition (CVER) in outdoor areas with wide coverage. Previous datasets for action recognition are unrealistic for real-world surve...

Subject

Computer science

Event (particle physics)

Benchmark (surveying)

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