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article · 2020

Inter-Frame Differencing in Training Data for Artificial Intelligence : Contour Processing for Inter-Frame Differencing Method

Yuan Enze, Yasuyuki Miura

Cited by 3Abstract and details only

Abstract

We investigate the frame subtraction method in the research of the security surveillance system for old people by artificial intelligence using deep neural networks. The results in low-illumination images become smaller when the conventional inter-frame differencing method is applied. Therefore, we propose an optimal method of inter-frame differencing in various illuminance environments. The accuracy of inter-frame differencing improves when the proposed method using contour processing is applied.

Cite this paper

APA 7

Enze, Y., & Miura, Y. (2020). Inter-Frame Differencing in Training Data for Artificial Intelligence : Contour Processing for Inter-Frame Differencing Method. https://doi.org/10.1109/icce-taiwan49838.2020.9258108

MLA 9

Enze, Yuan, and Yasuyuki Miura. “Inter-Frame Differencing in Training Data for Artificial Intelligence : Contour Processing for Inter-Frame Differencing Method.” 2020, pp. 1–2, https://doi.org/10.1109/icce-taiwan49838.2020.9258108.

Chicago

Enze, Yuan, and Yasuyuki Miura. 2020. “Inter-Frame Differencing in Training Data for Artificial Intelligence : Contour Processing for Inter-Frame Differencing Method.” https://doi.org/10.1109/icce-taiwan49838.2020.9258108.

Harvard

Enze, Y. and Miura, Y. (2020) ‘Inter-Frame Differencing in Training Data for Artificial Intelligence : Contour Processing for Inter-Frame Differencing Method’. Available at: https://doi.org/10.1109/icce-taiwan49838.2020.9258108.

BibTeX
@article{enze2020inter,
  title = {{Inter-Frame Differencing in Training Data for Artificial Intelligence : Contour Processing for Inter-Frame Differencing Method}},
  author = {Enze, Yuan and Miura, Yasuyuki},
  pages = {1--2},
  year = {2020},
  doi = {10.1109/icce-taiwan49838.2020.9258108}
}

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