The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Abnormal Event Detection at 150 FPS in MATLAB
Abstract
Speedy abnormal event detection meets the growing demand to process an enormous number of surveillance videos. Based on inherent redundancy of video structures, we propose an efficient sparse combination learning framework. It achieves decent performance in the detection phase without compromising result quality. The short running time is guaranteed because the new method effectively turns the original complicated problem to one in which only a few costless small-scale least square optimization steps are involved. Our method reaches high detection rates on benchmark datasets at a speed of 140-150 frames per second on average when computing on an ordinary desktop PC using MATLAB.
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Cites
The Elements of Statistical Learning
Hastie, T., Friedman, J., & Tibshirani, R. (2001) · Springer Series in Statistics · doi:10.1007/978-0-387-21606-5 · Cited by 24,162
Cited by
Gong, D., Liu, L., Le, V., Saha, B., Mansour, M. R., Venkatesh, S., & Van Den Hengel, A. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2019.00179 · Cited by 1,930
A Revisit of Sparse Coding Based Anomaly Detection in Stacked RNN Framework
Luo, W., Liu, W., & Gao, S. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2017.45 · Cited by 895
Latent Space Autoregression for Novelty Detection
Abati, D., Porrello, A., Calderara, S., & Cucchiara, R. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2019.00057 · Cited by 508
Detecting anomalous events in videos by learning deep representations of appearance and motion
Xu, D., Yan, Y., Ricci, E., & Sebe, N. (2017) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2016.10.010 · Cited by 474
Anomaly Detection in Video Sequence With Appearance-Motion Correspondence
Nguyen, T. N., & Meunier, J. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2019.00136 · Cited by 459
Metadata
- Authors
- Lu, C., Shi, J., & Jia, J.
- Venue
- 2013 IEEE International Conference on Computer Vision
- Publisher
- IEEE
- Published
- 2013-12
- Pages
- 2720-2727
- OpenAlex
- W2163612318
- Cited by
- 1,436
- References
- 1
- FWCI
- 15.61
- Type
- conference paper
- Language
- en
- Open access
- closed
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