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conference paper · International Conference on Consumer Electronics · 2012

Moving object detection strategy for augmented-reality applications in a GPGPU by using CUDA

Daniel Berjón, Carlos Cuevas, Francisco Morán, Narciso N. Garcia

Cited by 2Open access

Abstract

A spatial-color-based non-parametric background-foreground modeling strategy in a GPGPU by using CUDA is proposed. This strategy is suitable for augmented-reality applications, providing real-time high-quality results in a great variety of scenarios.

Cite this paper

APA 7

Berjón, D., Cuevas, C., Morán, F., & Garcia, N. N. (2012). Moving object detection strategy for augmented-reality applications in a GPGPU by using CUDA. International Conference on Consumer Electronics, 9, 319–320. https://doi.org/10.1109/icce.2012.6161886

MLA 9

Berjón, Daniel, et al. “Moving object detection strategy for augmented-reality applications in a GPGPU by using CUDA.” International Conference on Consumer Electronics, vol. 9, 2012, pp. 319–20, https://doi.org/10.1109/icce.2012.6161886.

Chicago

Berjón, Daniel, Carlos Cuevas, Francisco Morán, and Narciso N. Garcia. 2012. “Moving object detection strategy for augmented-reality applications in a GPGPU by using CUDA.” International Conference on Consumer Electronics 9: 319–20. https://doi.org/10.1109/icce.2012.6161886.

Harvard

Berjón, D. et al. (2012) ‘Moving object detection strategy for augmented-reality applications in a GPGPU by using CUDA’, International Conference on Consumer Electronics, 9, pp. 319–320. Available at: https://doi.org/10.1109/icce.2012.6161886.

BibTeX
@article{berjon2012moving,
  title = {{Moving object detection strategy for augmented-reality applications in a GPGPU by using CUDA}},
  author = {Berjón, Daniel and Cuevas, Carlos and Morán, Francisco and Garcia, Narciso N.},
  journal = {International Conference on Consumer Electronics},
  volume = {9},
  pages = {319--320},
  year = {2012},
  doi = {10.1109/icce.2012.6161886}
}

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