The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Action Recognition from Arbitrary Views using 3D Exemplars
Open accessAbstract
In this paper, we address the problem of learning compact, view-independent, realistic 3D models of human actions recorded with multiple cameras, for the purpose of recognizing those same actions from a single or few cameras, without prior knowledge about the relative orientations between the cameras and the subjects. To this aim, we propose a new framework where we model actions using three dimensional occupancy grids, built from multiple viewpoints, in an exemplar-based HMM. The novelty is, that a 3D reconstruction is not required during the recognition phase, instead learned 3D exemplars are used to produce 2D image information that is compared to the observations. Parameters that describe image projections are added as latent variables in the recognition process. In addition, the temporal Markov dependency applied to view parameters allows them to evolve during recognition as with a smoothly moving camera. The effectiveness of the framework is demonstrated with experiments on real datasets and with challenging recognition scenarios.
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Self-citationReal-time object detection for "smart" vehicles
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View-Invariant Representation and Recognition of Actions
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Cited by
Ucf101: A dataset of 101 human actions classes from videos in the wild
Soomro, K., Zamir, A. R., & Shah, M. (2012) · arXiv · doi:10.48550/arxiv.1212.0402 · Cited by 4,575
Hmdb: a large video database for human motion recognition
Kuehne, H., Jhuang, H., Garrote, E., Poggio, T., & Serre, T. (2011) · 2011 International Conference on Computer Vision · doi:10.1109/iccv.2011.6126543 · Cited by 3,965
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
Dense Trajectories and Motion Boundary Descriptors for Action Recognition
Wang, H., Kläser, A., Schmid, C., & Liu, C.-L. (2013) · International Journal of Computer Vision · doi:10.1007/s11263-012-0594-8 · Cited by 1,669
View invariant human action recognition using histograms of 3D joints
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Metadata
- Authors
- Weinland, D., Boyer, E., & Ronfard, R.
- Venue
- 2007 IEEE 11th International Conference on Computer Vision
- Publisher
- IEEE
- Published
- 2007
- Pages
- 1-7
- OpenAlex
- W2166070055
- Cited by
- 448
- References
- 18
- FWCI
- 19.98
- Type
- conference paper
- Language
- en
- Open access
- green
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- Weinland, D., Boyer, E., & Ronfard, R. (2007). Action Recognition from Arbitrary Views using 3D Exemplars. 2007 IEEE 11th International Conference on Computer Vision. https://doi.org/10.1109/iccv.2007.4408849
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