The DOI matches its Crossref record; 61 of the 61 references it cites were found in a registry or an index.
Vision-based action recognition of earthmoving equipment using spatio-temporal features and support vector machine classifiers
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Citations
Cites
LIBSVM: A library for support vector machines
Chang, C.-C., & Lin, C.-J. (2011) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/1961189.1961199 · Cited by 40,918
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
Object Detection with Discriminatively Trained Part-Based Models
Felzenszwalb, P. F., Girshick, R. B., McAllester, D., & Ramanan, D. (2010) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2009.167 · Cited by 9,853
Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation
Powers, D. M. W. (2020) · arXiv · doi:10.48550/arxiv.2010.16061 · Cited by 5,440
Probabilistic Latent Semantic Indexing
Hofmann, T. (2017) · ACM SIGIR Forum · doi:10.1145/3130348.3130370 · Cited by 3,988
Probabilistic latent semantic indexing
Hofmann, T. (1999) · Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval · doi:10.1145/312624.312649 · Cited by 3,976
Learning realistic human actions from movies
Laptev, I., Marszalek, M., Schmid, C., & Rozenfeld, B. (2008) · 2008 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2008.4587756 · Cited by 3,444
An empirical study of the naive Bayes classifier
Rish, I. (2001) · Cited by 3,202
Recognizing human actions: a local SVM approach
Schuldt, C., Laptev, I., & Caputo, B. (2004) · Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. · doi:10.1109/icpr.2004.1334462 · Cited by 3,010
Recognizing human actions: A local SVM approach
Schüldt, C., Laptev, I., & Barbara Caputo, B. (2004) · Cited by 2,908
Cited by
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
Image-Driven Fuzzy-Based System to Construct as-Is IFC BIM Objects
Lu, Q., Lee, S., & Chen, L. (2018) · Automation in Construction · doi:10.1016/j.autcon.2018.03.034 · Cited by 64
Metadata
- Authors
- Golparvar-Fard, M., Heydarian, A., & Niebles, J. C.
- Venue
- Advanced Engineering Informatics
- Publisher
- Elsevier BV
- Published
- 2013-10
- Volume
- 27
- Issue
- 4
- Pages
- 652-663
- ISSN
- 1474-0346 (ISSN-L)
- OpenAlex
- W2082459479
- Cited by
- 286
- References
- 61
- FWCI
- 13.01
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Vision-based action recognition of earthmoving equipment using spatio-temporal features and support vector machine classifiers. https://app.cochat.ai/papers/10.1016/j.aei.2013.09.001
- The paper
- Golparvar-Fard, M., Heydarian, A., & Niebles, J. C. (2013). Vision-based action recognition of earthmoving equipment using spatio-temporal features and support vector machine classifiers. Advanced Engineering Informatics. https://doi.org/10.1016/j.aei.2013.09.001
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.
