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

By Sangmin Oh, A. Hoogs, A. Perera, Naresh P. Cuntoor, Chia-Chih Chen, J. T. Lee, Saurajit Mukherjee, Jake K. Aggarwal, Hyungtae Lee, Larry S. Davis and 14 more. 2011

435 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Evaluation & Benchmarks

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Luc Van Gool
2. Trevor Darrell
3. Dacheng Tao
4. Ming-Hsuan Yang
5. Jitendra Malik
6. Andrew Zisserman
7. Xiaogang Wang
8. Abhinav Kumar Gupta

In Evaluation & Benchmarks

1. Martial Hebert
2. Ilya Sutskever
3. Abhinav Kumar Gupta
4. Jacob Walker
5. Aditya Ramesh
6. Jong Wook Kim
7. Alec Radford

Citations in the corpus

• Learning Transferable Visual Models From Natural Language Supervision (2021, methodology): “We used the VIRAT dataset (Oh et al., 2011) and data captured by Varadarajan & Odobez (2009), which both consist of real world outdoor scenes with non-actors.”
• Patch to the Future: Unsupervised Visual Prediction (2014, methodology): “For example, in the case of the VIRAT dataset [23], one of the elements groups two people since the two people are likely to move together and hence can be modeled as a single agent.”
• A Review of Human Activity Recognition Methods (2015, neutral): “…et al., 2012) 2012 4 20 300 320×240 Surveillance PETS 2004 (CAVIAR) (Fisher, 2004) 2004 6 28 384×288 PETS 2007 (Fisher, 2007b) 2007 3 7 768×576 VIRAT (Oh et al., 2011) 2011 23 17 1,920×1,080 Pose TUM Kitchen (Tenorth et al., 2009) 2009 10 4 20 324×288 Two-person interaction (Yun et al.,…”
• A survey of video datasets for human action and activity recognition (2013, background): “A detailed description of this dataset can be found in [160].”