The DOI matches its Crossref record.
An image processing technique for fire detection in video images
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Citations
Cited by
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
Airborne Optical and Thermal Remote Sensing for Wildfire Detection and Monitoring
Allison, R., Johnston, J., Craig, G., & Jennings, S. (2016) · Sensors · doi:10.3390/s16081310 · Cited by 304
Metadata
- Authors
- Marbach, G., Loepfe, M., & Brupbacher, T.
- Venue
- Fire Safety Journal
- Publisher
- Elsevier BV
- Published
- 2006-06
- Volume
- 41
- Issue
- 4
- Pages
- 285-289
- ISSN
- 0379-7112 (ISSN-L)
- OpenAlex
- W2171201674
- Cited by
- 275
- References
- 0
- FWCI
- 17.29
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: An image processing technique for fire detection in video images. https://app.cochat.ai/papers/10.1016/j.firesaf.2006.02.001
- The paper
- Marbach, G., Loepfe, M., & Brupbacher, T. (2006). An image processing technique for fire detection in video images. Fire Safety Journal. https://doi.org/10.1016/j.firesaf.2006.02.001
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.
