The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
Gait flow image: A silhouette-based gait representation for human identification
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Cites
Turk, M., & Pentland, A. (1991) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1991.3.1.71 · Cited by 13,733
Eigenfaces vs. Fisherfaces: recognition using class specific linear projection
Belhumeur, P. N., Hespanha, J. P., & Kriegman, D. J. (1997) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.598228 · Cited by 11,707
Horn, B. K. P., & Schunck, B. G. (1981) · Artificial Intelligence · doi:10.1016/0004-3702(81)90024-2 · Cited by 10,312
Horn, B. K., & Schunck, B. G. (1981) · SPIE Proceedings · doi:10.1117/12.965761 · Cited by 7,394
Yilmaz, A., Javed, O., & Shah, M. (2006) · ACM Computing Surveys · doi:10.1145/1177352.1177355 · Cited by 4,792
The FERET evaluation methodology for face-recognition algorithms
Phillips, P. J., Moon, H., Rizvi, S. A., & Rauss, P. J. (2000) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.879790 · Cited by 3,692
The recognition of human movement using temporal templates
Bobick, A. F., & Davis, J. W. (2001) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.910878 · Cited by 2,811
Individual recognition using gait energy image
Han, J., & Bhanu, B. (2006) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2006.38 · Cited by 1,847
The computation of optical flow
Beauchemin, S. S., & Barron, J. L. (1995) · ACM Computing Surveys · doi:10.1145/212094.212141 · Cited by 1,278
Silhouette analysis-based gait recognition for human identification
Wang, L., Tan, T., Ning, H., & Hu, W. (2003) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2003.1251144 · Cited by 1,202
Cited by
GEINet: View-invariant gait recognition using a convolutional neural network
Shiraga, K., Makihara, Y., Muramatsu, D., Echigo, T., & Yagi, Y. (2016) · 2016 International Conference on Biometrics (ICB) · doi:10.1109/icb.2016.7550060 · Cited by 468
(2019) · ACM Computing Surveys · doi:10.1145/3230633 · Cited by 303
Robust gait recognition: a comprehensive survey
Rida, I., Almaadeed, N., & Almaadeed, S. (2019) · IET Biometrics · doi:10.1049/iet-bmt.2018.5063 · Cited by 119
Gait optical flow image decomposition for human recognition
Luo, Z., Yang, T., & Liu, Y. (2016) · 2016 IEEE Information Technology, Networking, Electronic and Automation Control Conference · doi:10.1109/itnec.2016.7560427 · Cited by 10
Metadata
- Authors
- Lam, T. H. W., Cheung, K. H., & Liu, J. N. K.
- Venue
- Pattern Recognition
- Publisher
- Elsevier BV
- Published
- 2011-04
- Volume
- 44
- Issue
- 4
- Pages
- 973-987
- ISSN
- 0031-3203 (ISSN-L)
- OpenAlex
- W2016327746
- Cited by
- 269
- References
- 40
- FWCI
- 6.37
- 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: Gait flow image: A silhouette-based gait representation for human identification. https://app.cochat.ai/papers/10.1016/j.patcog.2010.10.011
- The paper
- Lam, T. H. W., Cheung, K. H., & Liu, J. N. K. (2011). Gait flow image: A silhouette-based gait representation for human identification. Pattern Recognition. https://doi.org/10.1016/j.patcog.2010.10.011
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.
