The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
HotSpotter — Patterned species instance recognition
Open accessAbstract
We present HotSpotter, a fast, accurate algorithm for identifying individual animals against a labeled database. It is not species specific and has been applied to Grevy's and plains zebras, giraffes, leopards, and lionfish. We describe two approaches, both based on extracting and matching keypoints or “hotspots”. The first tests each new query image sequentially against each database image, generating a score for each database image in isolation, and ranking the results. The second, building on recent techniques for instance recognition, matches the query image against the database using a fast nearest neighbor search. It uses a competitive scoring mechanism derived from the Local Naive Bayes Nearest Neighbor algorithm recently proposed for category recognition. We demonstrate results on databases of more than 1000 images, producing more accurate matches than published methods and matching each query image in just a few seconds.
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Cites
Distinctive Image Features from Scale-Invariant Keypoints
Lowe, D. G. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000029664.99615.94 · Cited by 55,589
Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
Lazebnik, S., Schmid, C., & Ponce, J. (2006) · 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2 (CVPR'06) · doi:10.1109/cvpr.2006.68 · Cited by 7,916
Video Google: a text retrieval approach to object matching in videos
Sivic, & Zisserman (2003) · Proceedings Ninth IEEE International Conference on Computer Vision · doi:10.1109/iccv.2003.1238663 · Cited by 6,367
Product Quantization for Nearest Neighbor Search
Jégou, H., Douze, M., & Schmid, C. (2011) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2010.57 · Cited by 2,956 · cited 1×
“Looking at this intuitively, if there were just one database image, then we would be in the same scenario as the one-vs-one matching, except with the roles of the query and database images reversed, and our scoring mechanism should reflect this.”
A comparison of affine region detectors
Mikolajczyk, K., Tuytelaars, T., Schmid, C., Zisserman, A., Matas, J., Schaffalitzky, F., Kadir, T., & Gool, L. V. (2005) · International Journal of Computer Vision · doi:10.1007/s11263-005-3848-x · Cited by 2,939
ARZOUMANIAN, Z., HOLMBERG, J., & NORMAN, B. (2005) · Journal of Applied Ecology · doi:10.1111/j.1365-2664.2005.01117.x · Cited by 316
Cited by
A computer vision for animal ecology
Weinstein, B. G. (2018) · Journal of Animal Ecology · doi:10.1111/1365-2656.12780 · Cited by 429
Perspectives on Individual Animal Identification from Biology and Computer Vision
Vidal, M., Wolf, N., Rosenberg, B., Harris, B. P., & Mathis, A. (2021) · Integrative and Comparative Biology · doi:10.1093/icb/icab107 · Cited by 104
The potential for acoustic individual identification in mammals
Linhart, P., Mahamoud-Issa, M., Stowell, D., & Blumstein, D. T. (2022) · Mammalian Biology · doi:10.1007/s42991-021-00222-2 · Cited by 39
Weideman, H. J., Stewart, C. V., Parham, J. R., Holmberg, J., Flynn, K., Calambokidis, J., Paul, D. B., Bedetti, A., Henley, M., Lepirei, J., et al. (2020) · 2020 IEEE Winter Conference on Applications of Computer Vision (WACV) · doi:10.1109/wacv45572.2020.9093266 · Cited by 32
Self-citationTurri, V., Morrison, K., Robinson, K.-M., Abidi, C., Perer, A., Forlizzi, J., & Dzombak, R. (2024) · The 2024 ACM Conference on Fairness, Accountability, and Transparency · doi:10.1145/3630106.3658985 · Cited by 10
Metadata
- Authors
- Crall, J. P., Stewart, C. V., Berger-Wolf, T. Y., Rubenstein, D. I., & Sundaresan, S. R.
- Venue
- 2013 IEEE Workshop on Applications of Computer Vision (WACV)
- Publisher
- IEEE
- Published
- 2013-01
- Pages
- 230-237
- ISSN
- 1550-5790 (ISSN-L)
- OpenAlex
- W2004223963
- Cited by
- 177
- References
- 6
- FWCI
- 2.13
- Type
- conference paper
- Language
- en
- Open access
- green
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- Crall, J. P., Stewart, C. V., Berger-Wolf, T. Y., Rubenstein, D. I., & Sundaresan, S. R. (2013). HotSpotter — Patterned species instance recognition. 2013 IEEE Workshop on Applications of Computer Vision (WACV). https://doi.org/10.1109/wacv.2013.6475023
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