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Background-subtraction using contour-based fusion of thermal and visible imagery
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Cited by
Multispectral pedestrian detection: Benchmark dataset and baseline
Hwang, S., Park, J., Kim, N., Choi, Y., & Kweon, I. S. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2015.7298706 · Cited by 1,249
Thermal cameras and applications: A survey
Gade, R., & Moeslund, T. B. (2014) · Machine Vision and Applications · doi:10.1007/s00138-013-0570-5 · Cited by 780
Long-Term Occupancy Analysis Using Graph-Based Optimisation in Thermal Imagery
Gade, R., Jorgensen, A., & Moeslund, T. B. (2013) · 2013 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2013.474 · Cited by 437
Learning Collaborative Sparse Representation for Grayscale-Thermal Tracking
Li, C., Cheng, H., Hu, S., Liu, X., Tang, J., & Lin, L. (2016) · IEEE Transactions on Image Processing · doi:10.1109/tip.2016.2614135 · Cited by 391
Fully Convolutional Region Proposal Networks for Multispectral Person Detection
Konig, D., Adam, M., Jarvers, C., Layher, G., Neumann, H., & Teutsch, M. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw.2017.36 · Cited by 287
Metadata
- Authors
- Davis, J. W., & Sharma, V.
- Venue
- Computer Vision and Image Understanding
- Publisher
- Elsevier BV
- Published
- 2007-05
- Volume
- 106
- Issue
- 2-3
- Pages
- 162-182
- ISSN
- 1077-3142 (ISSN-L)
- OpenAlex
- W2015148749
- Cited by
- 418
- References
- 0
- FWCI
- 15.27
- 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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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Background-subtraction using contour-based fusion of thermal and visible imagery. https://app.cochat.ai/papers/10.1016/j.cviu.2006.06.010
- The paper
- Davis, J. W., & Sharma, V. (2007). Background-subtraction using contour-based fusion of thermal and visible imagery. Computer Vision and Image Understanding. https://doi.org/10.1016/j.cviu.2006.06.010
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.
