The DOI matches its Crossref record; 161 of the 161 references it cites were found in a registry or an index.
Traditional and recent approaches in background modeling for foreground detection: An overview
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Regression shrinkage and selection via the lasso
Tibshirani, R. (1996) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1996.tb02080.x · Cited by 51,482
Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit
Tropp, J. A., & Gilbert, A. C. (2007) · IEEE Transactions on Information Theory · doi:10.1109/tit.2007.909108 · Cited by 9,653
$rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation
Aharon, M., Elad, M., & Bruckstein, A. (2006) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2006.881199 · Cited by 9,451
Adaptive background mixture models for real-time tracking
Stauffer, C., & Grimson, W. E. L. (2003) · Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149) · doi:10.1109/cvpr.1999.784637 · Cited by 6,923
Robust principal component analysis?
Candès, E. J., Li, X., Ma, Y., & Wright, J. (2011) · Journal of the ACM · doi:10.1145/1970392.1970395 · Cited by 6,921
Atomic Decomposition by Basis Pursuit
Chen, S. S., Donoho, D. L., & Saunders, M. A. (1998) · SIAM Journal on Scientific Computing · doi:10.1137/s1064827596304010 · Cited by 6,845
Pfinder: real-time tracking of the human body
Wren, C. R., Azarbayejani, A., Darrell, T., & Pentland, A. P. (1997) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.598236 · Cited by 4,169
Figueiredo, M. A. T., Nowak, R. D., & Wright, S. J. (2007) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2007.910281 · Cited by 3,524
Canonical Correlation Analysis: An Overview with Application to Learning Methods
Hardoon, D. R., Szedmak, S., & Shawe-Taylor, J. (2004) · Neural Computation · doi:10.1162/0899766042321814 · Cited by 3,202
Kuybeda, O., Frank, G. A., Bartesaghi, A., Borgnia, M., Subramaniam, S., & Sapiro, G. (2013) · Journal of Structural Biology · doi:10.1016/j.jsb.2012.10.010 · Cited by 2,162
Cited by
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 1,544
Background subtraction in real applications: Challenges, current models and future directions
Garcia-Garcia, B., Bouwmans, T., & Rosales Silva, A. J. (2020) · Computer Science Review · doi:10.1016/j.cosrev.2019.100204 · Cited by 337
Self-citationNIC: A Robust Background Extraction Algorithm for Foreground Detection in Dynamic Scenes
Huynh-The, T., Banos, O., Lee, S., Kang, B. H., Kim, E.-S., & Le-Tien, T. (2017) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2016.2543118 · Cited by 51
Joint Deep Learning of Foreground, Background and Shape for Robust Contextual Segmentation
Ravishankar, H., Thiruvenkadam, S., Venkataramani, R., & Vaidya, V. (2017) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-59050-9_49 · Cited by 23
Metadata
- Authors
- Bouwmans, T.
- Venue
- Computer Science Review
- Publisher
- Elsevier BV
- Published
- 2014-05
- Volume
- 11-12
- Pages
- 31-66
- ISSN
- 1574-0137 (ISSN-L)
- OpenAlex
- W1988061476
- Cited by
- 676
- References
- 161
- FWCI
- 72.70
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
