The DOI matches its Crossref record; 508 of the 534 references it cites were found in a registry or an index.
Background subtraction in real applications: Challenges, current models and future directions
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In the citing paper
“When integrated with ML, they can adapt to gradual changes in lighting and background shifts.”
From A Review of Passenger Counting in Public Transport Concepts with Solution Proposal Based on Image Processing and Machine Learning (2024) · cites this paper as [61]
In the citing paper
“They are suitable for fixed-point passenger counting where the camera is stationary, and background subtraction is effective in relatively stable environments like bus stops or entry gates.”
From A Review of Passenger Counting in Public Transport Concepts with Solution Proposal Based on Image Processing and Machine Learning (2024) · cites this paper as [61]
Citations
Cites
Robust principal component analysis?
Candès, E. J., Li, X., Ma, Y., & Wright, J. N. (2011) · Journal of the ACM · doi:10.1145/1970392.1970395 · Cited by 7,048
Adaptive background mixture models for real-time tracking
Stauffer, C., & Grimson, W. E. L. (2003) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.1999.784637 · Cited by 6,925
Pfinder: real-time tracking of the human body
Wren, C. R., Azarbayejani, A. J., Darrell, T., & Pentland, A. (1997) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.598236 · Cited by 4,169
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Non-parametric Model for Background Subtraction
Elgammal, A., Harwood, D., & Davis, L. S. (2000) · Lecture notes in computer science · doi:10.1007/3-540-45053-x_48 · Cited by 2,129
Wallflower: principles and practice of background maintenance
Toyama, K., Krumm, J. C., Brumitt, B. L., & Meyers, B. R. (1999) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.1999.791228 · Cited by 1,701
A Bayesian computer vision system for modeling human interactions
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Efficient adaptive density estimation per image pixel for the task of background subtraction
Živković, Z., & van der Heijden, F. (2006) · Pattern Recognition Letters · doi:10.1016/j.patrec.2005.11.005 · Cited by 1,583
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Cited by
Sorted by citations
A survey on deep learning and its applications
Dong, S., Wang, P., & Abbas, K. (2021) · Computer Science Review · doi:10.1016/j.cosrev.2021.100379 · Cited by 1,622
Bouwmans, T., Javed, S., Sultana, M., & Jung, S. K. (2019) · Neural Networks · doi:10.1016/j.neunet.2019.04.024 · Cited by 412
Self-citationDeep Dense Multi-Scale Network for Snow Removal Using Semantic and Depth Priors
Zhang, K., Li, R., Yu, Y., Luo, W., & Li, C. (2021) · IEEE Transactions on Image Processing · doi:10.1109/tip.2021.3104166 · Cited by 387
Rank-One Prior: Real-Time Scene Recovery
Liu, J., Liu, R. W., Sun, J., & Zeng, T. (2022) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2022.3226276 · Cited by 163
Moving objects detection with a moving camera: A comprehensive review
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Self-citation
Metadata
- Authors
- Garcia-Garcia, B., Bouwmans, T., & Rosales Silva, A. J.
- Affiliations
- Laboratoire Mathématiques, Image et Applications (FR)
- Corresponding author
- Bouwmans, Thierry
- ORCID
- Bouwmans, Thierry
- Venue
- Computer Science Review
- Publisher
- Elsevier BV
- Published
- 2020-02
- Volume
- 35
- Pages
- 100204
- ISSN
- 1574-0137 (ISSN-L)
- OpenAlex
- W2983488121
- Cited by
- 337
- References
- 534
- Citations by year
- 2026: 16 · 2025: 40 · 2024: 47 · 2023: 65 · 2022: 71 · 2021: 46 · 2020: 41
- FWCI
- 18.80
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Computer Science Review (acceptedVersion)
- HAL (submittedVersion, other-oa)
- Funders
- Consejo Nacional de Ciencia y Tecnología
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Video Surveillance and Tracking Methods
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Neural Network Applications
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Infrared Target Detection Methodologies
- Keywords
- background subtraction, moving object detection, foreground-background separation, traffic monitoring, background modeling, omnidirectional camera, CCD detector
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