The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
A vision-based motion capture and recognition framework for behavior-based safety management
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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
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Hartley, R., & Zisserman, A. (2004) · doi:10.1017/cbo9780511811685 · Cited by 21,070
Nonlinear Component Analysis as a Kernel Eigenvalue Problem
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A survey of advances in vision-based human motion capture and analysis
Moeslund, T. B., Hilton, A., & Krüger, V. (2006) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2006.08.002 · Cited by 2,541
SIFT Flow: Dense Correspondence across Scenes and Its Applications
Liu, C., Yuen, J., & Torralba, A. (2011) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2010.147 · Cited by 1,582
DAISY: An Efficient Dense Descriptor Applied to Wide-Baseline Stereo
Tola, E., Lepetit, V., & Fua, P. (2010) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2009.77 · Cited by 1,405
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Cited by
Ding, L., Fang, W., Luo, H., Love, P. E. D., Zhong, B., & Ouyang, X. (2018) · Automation in Construction · doi:10.1016/j.autcon.2017.11.002 · Cited by 477
Computer vision techniques in construction: A critical review
Xu, S., Wang, J., Shou, W., Ngo, T., Sadick, A.-M., & Wang, X. (2021) · Archives of Computational Methods in Engineering · doi:10.1007/s11831-020-09504-3 · Cited by 409
Computer vision for behaviour-based safety in construction: A review and future directions
Fang, W., Love, P. E. D., Luo, H., & Ding, L. (2020) · Advanced Engineering Informatics · doi:10.1016/j.aei.2019.100980 · Cited by 346
Automatic damage detection of historic masonry buildings based on mobile deep learning
Wang, N., Zhao, X., Zhao, P., Zhang, Y., Zou, Z., & Ou, J. (2019) · Automation in Construction · doi:10.1016/j.autcon.2019.03.003 · Cited by 285
Literature review of digital twins applications in construction workforce safety
Hou, L., Wu, S., Zhang, G. (., Tan, Y., & Wang, X. (2020) · Applied Sciences · doi:10.3390/app11010339 · Cited by 194
Metadata
- Authors
- Han, S., & Lee, S.
- Venue
- Automation in Construction
- Publisher
- Elsevier BV
- Published
- 2013-11
- Volume
- 35
- Pages
- 131-141
- ISSN
- 0926-5805 (ISSN-L)
- OpenAlex
- W2064132797
- Cited by
- 347
- References
- 40
- FWCI
- 14.87
- Type
- journal article
- Language
- en
- Open access
- closed
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- Han, S., & Lee, S. (2013). A vision-based motion capture and recognition framework for behavior-based safety management. Automation in Construction. https://doi.org/10.1016/j.autcon.2013.05.001
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.
