QMUL Junction Dataset
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Details
A busy traffic dataset for research on activity analysis and behaviour understanding.
Video length: 1 hour (90000 frames)
Frame size: 360x288
Frame rate: 25 Hz
Compression codec: ffdshow mpeg-4
The dataset is intended for research purposes only and as such cannot be used commercially. In addition, reference must be made to the following publications when this dataset is used in any academic and research reports.
References
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Stream-based Joint Exploration-Exploitation Active Learning
C. C. Loy, T. M. Hospedales, T. Xiang, and S. Gong
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2012)
* Oral presentation
PDF Codes - Detecting and Discriminating Behavioural Anomalies
C. C. Loy, T. Xiang, and S. Gong
Pattern Recognition 2011(PR 2011)
PDF - Stream-based Active Unusual Event Detection
C. C. Loy, T. Xiang, and S. Gong
Asian Conference on Computer Vision, Queenstown, New Zealand, 2010 (ACCV 2010)
* Oral presentation
PDF - Modelling Multi-object Activity by Gaussian Processes
C. C. Loy, T. Xiang, and S. Gong
British Machine Vision Conference, London, United Kingdom, 2009 (BMVC 2009)
PDF - From Local Temporal Correlation to Global Anomaly Detection
C. C. Loy, T. Xiang, and S. Gong
International Workshop on Machine Learning for Vision-based Motion Analysis, Marseille, France, 2008