The DOI matches its Crossref record; 105 of the 105 references it cites were found in a registry or an index.
RGB-D-based action recognition datasets: A survey
Open accessAbstract
Human action recognition from RGB-D (Red, Green, Blue and Depth) data has attracted increasing attention since the first work reported in 2010. Over this period, many benchmark datasets have been created to facilitate the development and evaluation of new algorithms. This raises the question of which dataset to select and how to use it in providing a fair and objective comparative evaluation against state-of-the-art methods. To address this issue, this paper provides a comprehensive review of the most commonly used action recognition related RGB-D video datasets, including 27 single-view datasets, 10 multi-view datasets, and 7 multi-person datasets. The detailed information and analysis of these datasets is a useful resource in guiding insightful selection of datasets for future research. In addition, the issues with current algorithm evaluation vis-a-vis limitations of the available datasets and evaluation protocols are also highlighted; resulting in a number of recommendations for collection of new datasets and use of evaluation protocols. HighlightsA detailed review and in-depth analysis of 44 publicly available RGB-D-based action datasets.Recommendations on the selection of datasets and evaluation protocols for use in future research.Identification of some limitations of these datasets and evaluation protocols.Recommendations on future creation of datasets and use of evaluation protocols.
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Cites
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Cited by
Recent advances in convolutional neural networks
Gu, J., Wang, Z., Kuen, J., Ma, L., Shahroudy, A., Shuai, B., Liu, T., Wang, X., Wang, G., Cai, J., et al. (2018) · Pattern Recognition · doi:10.1016/j.patcog.2017.10.013 · Cited by 6,576
NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis
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View Adaptive Neural Networks for High Performance Skeleton-Based Human Action Recognition
Zhang, P., Lan, C., Xing, J., Zeng, W., Xue, J., & Zheng, N. (2019) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2019.2896631 · Cited by 523
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
Metadata
- Authors
- Zhang, J., Li, W., Ogunbona, P. O., Wang, P., & Tang, C.
- Venue
- Pattern Recognition
- Publisher
- Elsevier BV
- Published
- 2016-12
- Volume
- 60
- Pages
- 86-105
- ISSN
- 0031-3203 (ISSN-L)
- OpenAlex
- W2294438834
- Cited by
- 283
- References
- 105
- FWCI
- 29.89
- Type
- journal article
- Language
- en
- Open access
- green
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