The DOI matches its Crossref record; 99 of the 99 references it cites were found in a registry or an index.
Abnormal behavior recognition for intelligent video surveillance systems: A review
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Citations
Cites
Distinctive Image Features from Scale-Invariant Keypoints
Lowe, D. G. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000029664.99615.94 · Cited by 55,589
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2013 IEEE International Conference on Computer Vision
(2013) · doi:10.1109/iccv19984.2013 · Cited by 4,183
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
(2015) · doi:10.1109/cvpr31182.2015 · Cited by 3,737
Support Vector Data Description
Tax, D. M. J., & Duin, R. P. W. (2004) · Machine Learning · doi:10.1023/b:mach.0000008084.60811.49 · Cited by 3,512
Laptev, I. (2005) · International Journal of Computer Vision · doi:10.1007/s11263-005-1838-7 · Cited by 2,629
Detection and Tracking of Point Features
Tomasi, C. (1991) · Cited by 2,231
Abnormal crowd behavior detection using social force model
Mehran, R., Oyama, A., & Shah, M. (2009) · 2009 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2009.5206641 · Cited by 1,672
Vision based hand gesture recognition for human computer interaction: a survey
Rautaray, S. S., & Agrawal, A. (2015) · Artificial Intelligence Review · doi:10.1007/s10462-012-9356-9 · Cited by 1,526
Cited by
A Survey on Trajectory-Prediction Methods for Autonomous Driving
Huang, Y., Du, J., Yang, Z., Zhou, Z., Zhang, L., & Chen, H. (2022) · IEEE Transactions on Intelligent Vehicles · doi:10.1109/tiv.2022.3167103 · Cited by 677
Pareek, P., & Thakkar, A. (2021) · Artificial Intelligence Review · doi:10.1007/s10462-020-09904-8 · Cited by 455
A survey on wearable sensor modality centred human activity recognition in health care
Wang, Y., Cang, S., & Yu, H. (2019) · Expert Systems with Applications · doi:10.1016/j.eswa.2019.04.057 · Cited by 409
A comprehensive review on deep learning-based methods for video anomaly detection
Nayak, R., Pati, U. C., & Das, S. K. (2021) · Image and Vision Computing · doi:10.1016/j.imavis.2020.104078 · Cited by 324
Deep Learning-Based Anomaly Detection in Video Surveillance: A Survey
Duong, H.-T., Le, V.-T., & Hoang, V. T. (2023) · Sensors · doi:10.3390/s23115024 · Cited by 178
Metadata
- Authors
- Ben Mabrouk, A., & Zagrouba, E.
- Venue
- Expert Systems with Applications
- Publisher
- Elsevier BV
- Published
- 2018-01
- Volume
- 91
- Pages
- 480-491
- ISSN
- 0957-4174 (ISSN-L)
- OpenAlex
- W2756233686
- Cited by
- 361
- References
- 99
- FWCI
- 13.14
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Ben Mabrouk, A., & Zagrouba, E. (2018). Abnormal behavior recognition for intelligent video surveillance systems: A review. Expert Systems with Applications. https://doi.org/10.1016/j.eswa.2017.09.029
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
