The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Computer vision based method for real-time fire and flame detection
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Citations
Cites
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
Characterization of signals from multiscale edges
Mallat, S., & Zhong, S. (1992) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.142909 · Cited by 3,200
Robust text-independent speaker identification using Gaussian mixture speaker models
Reynolds, D. A., & Rose, R. C. (1995) · IEEE Transactions on Speech and Audio Processing · doi:10.1109/89.365379 · Cited by 2,860
A System for Video Surveillance and Monitoring
Collins, R. T., Lipton, A. J., Takeo Kanade, A., Fujiyoshi, H., Duggins, D., Tsin, Y., Tolliver, D., Enomoto, N., Hasegawa, O., Burt, P. J., et al. (2000) · Cited by 1,268
An early fire-detection method based on image processing
Chen, T.-H., Wu, P.-H., & Chiou, Y.-C. (2005) · 2004 International Conference on Image Processing, 2004. ICIP '04. · doi:10.1109/icip.2004.1421401 · Cited by 644
The representation and recognition of human movement using temporal templates
Davis, J. W., & Bobick, A. F. (2002) · Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.1997.609439 · Cited by 503
Tracking and Object Classification for Automated Surveillance
Javed, O., & Shah, M. (2002) · Lecture Notes in Computer Science · doi:10.1007/3-540-47979-1_23 · Cited by 337
Phillips III, W., Shah, M., & da Vitoria Lobo, N. (2002) · Pattern Recognition Letters · doi:10.1016/s0167-8655(01)00135-0 · Cited by 275
Parhami, B. (1994) · IEEE Transactions on Reliability · doi:10.1109/24.370218 · Cited by 253
Liu, C.-B., & Ahuja, N. (2004) · Cited by 195
Cited by
Yuan, C., Zhang, Y., & Liu, Z. (2015) · Canadian Journal of Forest Research · doi:10.1139/cjfr-2014-0347 · Cited by 639
Muhammad, K., Ahmad, J., & Baik, S. W. (2018) · Neurocomputing · doi:10.1016/j.neucom.2017.04.083 · Cited by 558
Convolutional Neural Networks Based Fire Detection in Surveillance Videos
Muhammad, K., Ahmad, J., Mehmood, I., Rho, S., & Baik, S. W. (2018) · IEEE Access · doi:10.1109/access.2018.2812835 · Cited by 556
Fire detection in video sequences using a generic color model
Çelik, T., & Demirel, H. (2009) · Fire Safety Journal · doi:10.1016/j.firesaf.2008.05.005 · Cited by 553
Efficient Deep CNN-Based Fire Detection and Localization in Video Surveillance Applications
Muhammad, K., Ahmad, J., Lv, Z., Bellavista, P., Yang, P., & Baik, S. W. (2019) · IEEE Transactions on Systems, Man, and Cybernetics: Systems · doi:10.1109/tsmc.2018.2830099 · Cited by 537
Metadata
- Authors
- Töreyin, B. U., Dedeoğlu, Y., Güdükbay, U., & Çetin, A. E.
- Venue
- Pattern Recognition Letters
- Publisher
- Elsevier BV
- Published
- 2006-01
- Volume
- 27
- Issue
- 1
- Pages
- 49-58
- ISSN
- 0167-8655 (ISSN-L)
- OpenAlex
- W1984282654
- Cited by
- 639
- References
- 13
- FWCI
- 48.59
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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- CoChat. (2026). Citation check: Computer vision based method for real-time fire and flame detection. https://app.cochat.ai/papers/10.1016/j.patrec.2005.06.015
- The paper
- Töreyin, B. U., Dedeoğlu, Y., Güdükbay, U., & Çetin, A. E. (2006). Computer vision based method for real-time fire and flame detection. Pattern Recognition Letters. https://doi.org/10.1016/j.patrec.2005.06.015
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.
