The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
A Survey on Human Motion Analysis from Depth Data
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Citations
Cites
Histograms of Oriented Gradients for Human Detection
Dalal, N., & Triggs, B. (2005) · 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) · doi:10.1109/cvpr.2005.177 · Cited by 33,584
A decision-theoretic generalization of on-line learning and an application to boosting
Freund, Y., & Schapire, R. E. (1997) · Journal of Computer and System Sciences · doi:10.1006/jcss.1997.1504 · Cited by 20,466
Griffiths, T. L., & Steyvers, M. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0307752101 · Cited by 6,049
Cootes, T. F., Edwards, G. J., & Taylor, C. J. (2001) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.927467 · Cited by 5,409
A survey on vision-based human action recognition
Poppe, R. (2010) · Image and Vision Computing · doi:10.1016/j.imavis.2009.11.014 · Cited by 2,242
A 3D Facial Expression Database For Facial Behavior Research
Yin, L., Wei, X., Sun, Y., Wang, J., & Rosato, M. J. (2006) · 7th International Conference on Automatic Face and Gesture Recognition (FGR06) · doi:10.1109/fgr.2006.6 · Cited by 1,171
Realtime performance-based facial animation
Weise, T., Bouaziz, S., Li, H., & Pauly, M. (2011) · ACM Transactions on Graphics · doi:10.1145/2010324.1964972 · Cited by 356
Robust single-view geometry and motion reconstruction
Li, H., Adams, B., Guibas, L. J., & Pauly, M. (2009) · ACM Transactions on Graphics · doi:10.1145/1618452.1618521 · Cited by 334
3-D Face Detection, Landmark Localization, and Registration Using a Point Distribution Model
Nair, P., & Cavallaro, A. (2009) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2009.2017629 · Cited by 135
Cited by
NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis
Shahroudy, A., Liu, J., Ng, T.-T., & Wang, G. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.115 · Cited by 3,148
Romero (2017) · doi:10.1145/3130800.3130883 · Cited by 1,056
A Comprehensive Survey of Vision-Based Human Action Recognition Methods
Zhang, H.-B., Zhang, Y.-X., Zhong, B., Lei, Q., Yang, L., Du, J.-X., & Chen, D.-S. (2019) · Sensors · doi:10.3390/s19051005 · Cited by 503
“[15], who summarized human action recognition methods using depth data and Presti et al.”
MethodA survey of depth and inertial sensor fusion for human action recognition
Chen, C., Jafari, R., & Kehtarnavaz, N. (2017) · Multimedia Tools and Applications · doi:10.1007/s11042-015-3177-1 · Cited by 356
Metadata
- Authors
- Ye, M., Zhang, Q., Wang, L., Zhu, J., Yang, R., & Gall, J.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2013
- Pages
- 149-187
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W99952337
- Cited by
- 213
- References
- 9
- FWCI
- 14.93
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: A Survey on Human Motion Analysis from Depth Data. https://app.cochat.ai/papers/10.1007/978-3-642-44964-2_8
- The paper
- Ye, M., Zhang, Q., Wang, L., Zhu, J., Yang, R., & Gall, J. (2013). A Survey on Human Motion Analysis from Depth Data. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-642-44964-2_8
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.
